diff --git "a/openvino_model.xml" "b/openvino_model.xml"
--- "a/openvino_model.xml"
+++ "b/openvino_model.xml"
@@ -36,13 +36,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Constant_432625" type="Const" version="opset1">
+		<layer id="4" name="Constant_127968" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5" name="ShapeOf_432611" type="ShapeOf" version="opset3">
+		<layer id="5" name="ShapeOf_127954" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="I64">
@@ -56,7 +56,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6" name="Constant_432613" type="Const" version="opset1">
+		<layer id="6" name="Constant_127956" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -64,13 +64,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7" name="Constant_432615" type="Const" version="opset1">
+		<layer id="7" name="Constant_127958" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="8" name="Gather_432616" type="Gather" version="opset8">
+		<layer id="8" name="Gather_127959" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -87,7 +87,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="9" name="Constant_432618" type="Const" version="opset1">
+		<layer id="9" name="Constant_127961" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -95,7 +95,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="Constant_432620" type="Const" version="opset1">
+		<layer id="10" name="Constant_127963" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -103,7 +103,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="11" name="Constant_432622" type="Const" version="opset1">
+		<layer id="11" name="Constant_127965" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -111,7 +111,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="Concat_432623" type="Concat" version="opset1">
+		<layer id="12" name="Concat_127966" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -133,7 +133,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="Broadcast_432626" type="Broadcast" version="opset3">
+		<layer id="13" name="Broadcast_127969" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -150,7 +150,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="ReadValue_417408" type="ReadValue" version="opset6">
+		<layer id="14" name="ReadValue_127543" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.9.valuepresent.9.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -169,13 +169,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="Constant_401947" type="Const" version="opset1">
+		<layer id="15" name="Constant_126874" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="16" name="Gather_401948" type="Gather" version="opset8">
+		<layer id="16" name="Gather_126875" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -207,7 +207,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="Convert_448844" type="Convert" version="opset1">
+		<layer id="18" name="Convert_146541" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -231,7 +231,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="Convert_448847" type="Convert" version="opset1">
+		<layer id="20" name="Convert_146544" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -293,8 +293,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="24" name="self.model.gpt_neox.embed_in.weight/fq_weights_0/convert" type="Convert" version="opset1">
+		<layer id="24" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>50432</dim>
@@ -308,7 +311,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="25" name="__module.model.gpt_neox.embed_in/aten::embedding/Convert" type="Convert" version="opset1">
+		<layer id="25" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Convert_1" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="I64">
@@ -323,13 +326,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="26" name="__module.model.gpt_neox.embed_in/aten::embedding/Constant" type="Const" version="opset1">
+		<layer id="26" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Constant" type="Const" version="opset1">
 			<data element_type="i32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="27" name="__module.model.gpt_neox.embed_in/aten::embedding/Gather" type="Gather" version="opset8">
+		<layer id="27" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -343,14 +346,14 @@
 				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="306,input.1">
+				<port id="3" precision="FP32" names="298,inputs_embeds">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="28" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="28" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -378,7 +381,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="30" name="Constant_325188" type="Const" version="opset1">
+		<layer id="30" name="Constant_117141" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 1, 2560" offset="129257248" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
@@ -388,7 +391,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="31" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="31" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -410,7 +413,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="32" name="Constant_325189" type="Const" version="opset1">
+		<layer id="32" name="Constant_117142" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 1, 2560" offset="129267488" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
@@ -435,7 +438,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="315">
+				<port id="2" precision="FP32" names="382,hidden_states.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
@@ -451,7 +454,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="35" name="Convert_448855" type="Convert" version="opset1">
+		<layer id="35" name="Convert_430143" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -475,7 +478,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="37" name="Convert_448858" type="Convert" version="opset1">
+		<layer id="37" name="Convert_430146" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -537,8 +540,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="41" name="self.model.gpt_neox.layers.0.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="41" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -552,7 +558,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="42" name="__module.model.gpt_neox.layers.0.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="42" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -573,17 +579,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="43" name="Constant_325190" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="148961568" size="30720" />
+		<layer id="43" name="self.model.gpt_neox.layers.0.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="148961568" size="15360" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="44" name="__module.model.gpt_neox.layers.0.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="45" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -592,28 +612,26 @@
 					<dim>7680</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="322,qkv.1">
+				<port id="2" precision="FP32" names="389">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="45" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992288" size="32" />
+		<layer id="46" name="Constant_125437" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="46" name="__module.model.gpt_neox.layers.0.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="47" name="__module.model.gpt_neox.layers.0.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -626,7 +644,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="326,qkv.3">
+				<port id="2" precision="FP32" names="391">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -634,32 +652,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="47" name="Constant_294370" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="48" name="Constant_294373" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="48" name="__module.model.gpt_neox.layers.0.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="49" name="Constant_294376" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="50" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="49" name="__module.model.gpt_neox.layers.0.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -667,210 +668,264 @@
 					<dim>32</dim>
 					<dim>240</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="327">
-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="392,qkv.1">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="51" name="Constant_222" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="50" name="207" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="148976976" size="8" />
 			<output>
-				<port id="0" precision="I64" names="328">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" names="207" />
 			</output>
 		</layer>
-		<layer id="52" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="51" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="329,query.1">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="53" name="Constant_294382" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="52" name="Constant_29241" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="0" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I32">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="54" name="Constant_294385" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="53" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="55" name="Constant_294388" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="54" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="148976984" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="55" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Divide" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
+			<output>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="56" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="56" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Mod" type="Mod" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
+			<output>
+				<port id="2" precision="I32" />
+			</output>
+		</layer>
+		<layer id="57" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Greater" type="Greater" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+			</input>
+			<output>
+				<port id="2" precision="BOOL">
+					<dim>1</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="58" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="BOOL">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="336,q.1">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="57" name="self.model.gpt_neox.layers.0.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+		<layer id="59" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.0.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="2" precision="I32">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="58" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="60" name="Constant_29250" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="148976988" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="59" name="Constant_294394" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="61" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Broadcast" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="60" name="Constant_294397" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="62" name="Constant_29242" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I32">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="61" name="Constant_294400" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="63" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="62" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="64" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>240</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="330">
+				<port id="3" precision="FP32" names="394,q.1">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="4" precision="FP32" names="395,k.1">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="5" precision="FP32" names="396,value_states.1">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="63" name="ShapeOf_337904" type="ShapeOf" version="opset3">
+		<layer id="65" name="Constant_718" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="66" name="__module.model.gpt_neox.rotary_emb/aten::to/Convert" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 40, 1" offset="148976992" size="160" />
+			<output>
+				<port id="0" precision="FP32" names="351">
+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="67" name="ShapeOf_122661" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="64" name="Constant_340970" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="68" name="Constant_122662" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="65" name="Constant_337906" type="Const" version="opset1">
+		<layer id="69" name="Constant_122663" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="66" name="Gather_337907" type="Gather" version="opset8">
+		<layer id="70" name="Gather_122664" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -878,134 +933,216 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="340">
+				<port id="3" precision="I64" names="321,352">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="67" name="Constant_432638" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
+		<layer id="71" name="Constant_95240" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="68" name="Constant_432631" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="72" name="Constant_95242" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="69" name="Constant_432633" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
+		<layer id="73" name="__module.model.gpt_neox.rotary_emb/prim::ListConstruct" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="70" name="Constant_432635" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="74" name="__module.model.gpt_neox.rotary_emb/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="354,355,360,inv_freq_expanded,inv_freq_expanded.1">
+					<dim>-1</dim>
+					<dim>40</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="75" name="222" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="148977152" size="8" />
 			<output>
+				<port id="0" precision="I64" names="222" />
+			</output>
+		</layer>
+		<layer id="76" name="__module.model.gpt_neox.rotary_emb/aten::unsqueeze/Unsqueeze_2" type="Unsqueeze" version="opset1">
+			<input>
 				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64" names="357,358">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="71" name="Concat_432636" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="77" name="__module.model.gpt_neox.rotary_emb/aten::to/Convert_3" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I64">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64">
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="359,361,position_ids_expanded,position_ids_expanded.1">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I64">
+			</output>
+		</layer>
+		<layer id="78" name="__module.model.gpt_neox.rotary_emb/aten::matmul/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>40</dim>
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="362">
+					<dim>-1</dim>
+					<dim>40</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="72" name="Broadcast_432639" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="79" name="__module.model.gpt_neox.rotary_emb/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="148977160" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="80" name="__module.model.gpt_neox.rotary_emb/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>40</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="363,freqs">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="73" name="ReadValue_417282" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.0.keypresent.0.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="81" name="__module.model.gpt_neox.rotary_emb/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.0.key">
+				<port id="2" precision="FP32" names="365,emb">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="74" name="Constant_401890" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="82" name="__module.model.gpt_neox.rotary_emb/aten::cos/Cos" type="Cos" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="FP32" names="366,367,370,373,cos.1,cos.3">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="75" name="Gather_401891" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="83" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I64" />
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="1066,1177,1288,1399,1510,1621,1732,1843,1954,2065,2176,2287,2398,2509,2620,2731,2842,2953,3064,3175,3286,3397,3508,3619,3730,3841,397,511,622,733,844,955,cos,cos.11,cos.13,cos.15,cos.17,cos.19,cos.21,cos.23,cos.25,cos.27,cos.29,cos.31,cos.33,cos.35,cos.37,cos.39,cos.41,cos.43,cos.45,cos.47,cos.49,cos.5,cos.51,cos.53,cos.55,cos.57,cos.59,cos.61,cos.63,cos.65,cos.7,cos.9">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="76" name="ShapeOf_337909" type="ShapeOf" version="opset3">
+		<layer id="84" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
@@ -1016,82 +1153,59 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="77" name="Constant_337910" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="85" name="Constant_99649" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="78" name="Constant_337911" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="86" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="79" name="Gather_337912" type="Gather" version="opset8">
+		<layer id="87" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="342" />
-			</output>
-		</layer>
-		<layer id="80" name="Constant_337582" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="81" name="Reshape_340905" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="3" precision="I64" names="1068,1179,1290,1401,1512,1623,1734,1845,1956,2067,2178,2289,2400,2511,2622,2733,2844,2955,3066,3177,3288,3399,3510,3621,3732,3843,399,513,624,735,846,957">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="82" name="__module.model.gpt_neox.layers.0.attention/aten::add_/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="88" name="Constant_721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="2" precision="I64" names="341,345,346,seq_len.1">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="83" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="89" name="Constant_716" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="84" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="90" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -1103,82 +1217,69 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="349,352,cos.1">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="85" name="__module.model.gpt_neox.layers.0.attention/aten::index/Convert" type="Convert" version="opset1">
-			<data destination_type="i32" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
+				<port id="5" precision="FP32" names="400,q_rot.1">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="86" name="Constant_38227" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="87" name="__module.model.gpt_neox.layers.0.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="91" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="355">
+				<port id="2" precision="FP32" names="404">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="88" name="205" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647840" size="8" />
+		<layer id="92" name="Constant_736" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="205" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="89" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+		<layer id="93" name="Constant_739" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-			</input>
+			</output>
+		</layer>
+		<layer id="94" name="Constant_734" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="2" precision="FP32" names="356,cos.3">
-					<dim>-1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="90" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="95" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1186,15 +1287,21 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="360">
+				<port id="5" precision="FP32" names="402,k_rot.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1202,23 +1309,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="91" name="Constant_294405" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="92" name="Constant_294404" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="93" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
+		<layer id="96" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1234,19 +1325,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="94" name="207" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647856" size="8" />
+		<layer id="97" name="210" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I64" names="207" />
+				<port id="0" precision="I64" names="210" />
 			</output>
 		</layer>
-		<layer id="95" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_5" type="Const" version="opset1">
+		<layer id="98" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_3" type="Const" version="opset1">
 			<data element_type="i32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="96" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_5" type="Gather" version="opset8">
+		<layer id="99" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1256,16 +1347,16 @@
 				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="361,366" />
+				<port id="3" precision="I64" names="1074,1079,1090,1095,1185,1190,1201,1206,1296,1301,1312,1317,1407,1412,1423,1428,1518,1523,1534,1539,1629,1634,1645,1650,1740,1745,1756,1761,1851,1856,1867,1872,1962,1967,1978,1983,2073,2078,2089,2094,2184,2189,2200,2205,2295,2300,2311,2316,2406,2411,2422,2427,2517,2522,2533,2538,2628,2633,2644,2649,2739,2744,2755,2760,2850,2855,2866,2871,2961,2966,2977,2982,3072,3077,3088,3093,3183,3188,3199,3204,3294,3299,3310,3315,3405,3410,3421,3426,3516,3521,3532,3537,3627,3632,3643,3648,3738,3743,3754,3759,3849,3854,3865,3870,405,410,421,426,519,524,535,540,630,635,646,651,741,746,757,762,852,857,868,873,963,968,979,984" />
 			</output>
 		</layer>
-		<layer id="97" name="Constant_57" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="100" name="Constant_55" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="148977180" size="8" />
 			<output>
-				<port id="0" precision="I64" names="219" />
+				<port id="0" precision="I64" names="216" />
 			</output>
 		</layer>
-		<layer id="98" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
+		<layer id="101" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I64" />
@@ -1275,23 +1366,23 @@
 				<port id="2" precision="I64" />
 			</output>
 		</layer>
-		<layer id="99" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
+		<layer id="102" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor" type="Floor" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="363,364,368,369" />
+				<port id="1" precision="I64" names="1076,1077,1081,1082,1092,1093,1097,1098,1187,1188,1192,1193,1203,1204,1208,1209,1298,1299,1303,1304,1314,1315,1319,1320,1409,1410,1414,1415,1425,1426,1430,1431,1520,1521,1525,1526,1536,1537,1541,1542,1631,1632,1636,1637,1647,1648,1652,1653,1742,1743,1747,1748,1758,1759,1763,1764,1853,1854,1858,1859,1869,1870,1874,1875,1964,1965,1969,1970,1980,1981,1985,1986,2075,2076,2080,2081,2091,2092,2096,2097,2186,2187,2191,2192,2202,2203,2207,2208,2297,2298,2302,2303,2313,2314,2318,2319,2408,2409,2413,2414,2424,2425,2429,2430,2519,2520,2524,2525,2535,2536,2540,2541,2630,2631,2635,2636,2646,2647,2651,2652,2741,2742,2746,2747,2757,2758,2762,2763,2852,2853,2857,2858,2868,2869,2873,2874,2963,2964,2968,2969,2979,2980,2984,2985,3074,3075,3079,3080,3090,3091,3095,3096,3185,3186,3190,3191,3201,3202,3206,3207,3296,3297,3301,3302,3312,3313,3317,3318,3407,3408,3412,3413,3423,3424,3428,3429,3518,3519,3523,3524,3534,3535,3539,3540,3629,3630,3634,3635,3645,3646,3650,3651,3740,3741,3745,3746,3756,3757,3761,3762,3851,3852,3856,3857,3867,3868,3872,3873,407,408,412,413,423,424,428,429,521,522,526,527,537,538,542,543,632,633,637,638,648,649,653,654,743,744,748,749,759,760,764,765,854,855,859,860,870,871,875,876,965,966,970,971,981,982,986,987" />
 			</output>
 		</layer>
-		<layer id="100" name="Constant_337584" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="103" name="Constant_69796" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148976976" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="101" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
+		<layer id="104" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="I64" />
@@ -1305,53 +1396,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="102" name="Constant_294403" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="105" name="Constant_900" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="103" name="ScatterUpdate_294406" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="104" name="Constant_294409" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="106" name="Constant_902" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="105" name="Constant_294412" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="107" name="Constant_859" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="106" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="108" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1360,17 +1429,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="370,x2.1">
+				<port id="5" precision="FP32" names="414,x2.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1378,35 +1450,34 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="Constant_325191" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="109" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="108" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="110" name="__module.model.gpt_neox.layers.0.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="111" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="371">
+				<port id="2" precision="FP32" names="415">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1414,24 +1485,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="Constant_294457" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="112" name="Constant_767" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="110" name="Constant_294462" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="113" name="Constant_808" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="114" name="Constant_765" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="111" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="115" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1440,17 +1518,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="365">
+				<port id="5" precision="FP32" names="409,x1.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1458,7 +1539,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="112" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="116" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1475,7 +1556,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="373">
+				<port id="2" precision="FP32" names="417">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1483,83 +1564,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="114" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="115" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="116" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="117" name="__module.model.gpt_neox.rotary_emb/aten::sin/Sin" type="Sin" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="350,353,sin.1">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="117" name="Constant_38230" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="118" name="__module.model.gpt_neox.layers.0.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="358">
+				<port id="1" precision="FP32" names="368,369,371,374,sin.1,sin.3">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="119" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="118" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1569,7 +1590,7 @@
 				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="359,sin.3">
+				<port id="2" precision="FP32" names="1067,1178,1289,1400,1511,1622,1733,1844,1955,2066,2177,2288,2399,2510,2621,2732,2843,2954,3065,3176,3287,3398,3509,3620,3731,3842,398,512,623,734,845,956,sin,sin.11,sin.13,sin.15,sin.17,sin.19,sin.21,sin.23,sin.25,sin.27,sin.29,sin.31,sin.33,sin.35,sin.37,sin.39,sin.41,sin.43,sin.45,sin.47,sin.49,sin.5,sin.51,sin.53,sin.55,sin.57,sin.59,sin.61,sin.63,sin.65,sin.7,sin.9">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -1577,7 +1598,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="120" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="119" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1594,7 +1615,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="374">
+				<port id="2" precision="FP32" names="418">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1602,7 +1623,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add" type="Add" version="opset1">
+		<layer id="120" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1619,7 +1640,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="375,393,403,query.3,query.5">
+				<port id="2" precision="FP32" names="419,437,q_embed.1,query.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1627,105 +1648,87 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="Constant_236" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="331">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="123" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="121" name="Constant_127980" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="2" precision="FP32" names="332,key.1">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="124" name="Constant_294508" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="122" name="Constant_127973" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="Constant_294511" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="123" name="Constant_127975" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="126" name="Constant_294514" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="124" name="Constant_127977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="125" name="Concat_127978" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="126" name="Broadcast_127981" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="338,k.1">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="127" name="ReadValue_127417" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.0.keypresent.0.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="376">
+				<port id="1" precision="FP32" names="past_key_values.0.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1733,24 +1736,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="Constant_294518" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="130" name="Constant_294517" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="128" name="Constant_126817" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="131" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="129" name="Gather_126818" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1758,119 +1751,70 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="132" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="133" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="377,382" />
-			</output>
-		</layer>
-		<layer id="134" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
 				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="135" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="379,380,384,385" />
-			</output>
-		</layer>
-		<layer id="136" name="Constant_337586" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="137" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="130" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="420">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="138" name="Constant_294516" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="131" name="Constant_1109" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
-				<port id="0" precision="I32">
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-		<layer id="139" name="ScatterUpdate_294519" type="ScatterUpdate" version="opset3">
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 				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
 					<dim>1</dim>
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-				<port id="3" precision="I32">
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 			</output>
 		</layer>
-		<layer id="140" name="Constant_294522" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="132" name="Constant_1111" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="141" name="Constant_294525" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="133" name="Constant_1068" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="142" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="134" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1879,17 +1823,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="386,x2.3">
+				<port id="5" precision="FP32" names="430,x2.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1897,18 +1844,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="143" name="Constant_325192" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="135" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="136" name="__module.model.gpt_neox.layers.0.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="144" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="137" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1917,15 +1868,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="387">
+				<port id="2" precision="FP32" names="431">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1933,24 +1879,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="145" name="Constant_294570" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="138" name="Constant_976" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="Constant_294575" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="139" name="Constant_1017" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="140" name="Constant_974" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="141" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1959,17 +1912,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="381">
+				<port id="5" precision="FP32" names="425,x1.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1977,7 +1933,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="142" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1994,7 +1950,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="389">
+				<port id="2" precision="FP32" names="433">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2002,7 +1958,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="143" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2019,7 +1975,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="390">
+				<port id="2" precision="FP32" names="434">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2027,7 +1983,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="150" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="144" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2044,7 +2000,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="391,395">
+				<port id="2" precision="FP32" names="435,439,k_embed.1,key_states.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2052,7 +2008,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="151" name="__module.model.gpt_neox.layers.0.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="145" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2069,7 +2025,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.0.key">
+				<port id="2" precision="FP32" names="key.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2077,13 +2033,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="Constant_432651" type="Const" version="opset1">
+		<layer id="146" name="Constant_127992" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="153" name="Constant_432644" type="Const" version="opset1">
+		<layer id="147" name="Constant_127985" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2091,7 +2047,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="154" name="Constant_432646" type="Const" version="opset1">
+		<layer id="148" name="Constant_127987" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2099,7 +2055,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="155" name="Constant_432648" type="Const" version="opset1">
+		<layer id="149" name="Constant_127989" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2107,7 +2063,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="156" name="Concat_432649" type="Concat" version="opset1">
+		<layer id="150" name="Concat_127990" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2129,7 +2085,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="Broadcast_432652" type="Broadcast" version="opset3">
+		<layer id="151" name="Broadcast_127993" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -2146,7 +2102,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="158" name="ReadValue_417284" type="ReadValue" version="opset6">
+		<layer id="152" name="ReadValue_127419" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.0.valuepresent.0.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2165,13 +2121,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="159" name="Constant_401893" type="Const" version="opset1">
+		<layer id="153" name="Constant_126820" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="160" name="Gather_401894" type="Gather" version="opset8">
+		<layer id="154" name="Gather_126821" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2194,88 +2150,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="161" name="Constant_294620" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="162" name="Constant_294623" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="163" name="Constant_294626" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="164" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="333">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="165" name="Constant_250" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="334">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="166" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="335">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="167" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="155" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2292,7 +2167,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.0.value">
+				<port id="2" precision="FP32" names="value.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2300,144 +2175,121 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="168" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="156" name="__module.model.gpt_neox/aten::triu/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="BOOL" names="412">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="169" name="Constant_294630" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="157" name="Multiply_104601" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="148977196" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="170" name="Constant_294629" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="158" name="Constant_104606" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="148977200" size="16" />
 			<output>
 				<port id="0" precision="I64">
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-		<layer id="171" name="ShapeOf_337914" type="ShapeOf" version="opset3">
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+		<layer id="167" name="Gather_122692" type="Gather" version="opset8">
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 				<port id="0" precision="I64">
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-				<port id="1" precision="I64" />
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+				<port id="3" precision="I64" names="307,325" />
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 		</layer>
-		<layer id="181" name="Constant_337588" type="Const" version="opset1">
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+		<layer id="168" name="Constant_122693" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="182" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
+		<layer id="169" name="Reshape_122694" type="Reshape" version="opset1">
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 			<input>
 				<port id="0" precision="I64" />
@@ -2451,354 +2303,371 @@
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 			</output>
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-		<layer id="184" name="ScatterUpdate_294631" type="ScatterUpdate" version="opset3">
+		<layer id="170" name="__module.model.gpt_neox/prim::ListConstruct" type="Concat" version="opset1">
+			<data axis="0" />
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-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="I64">
+					<dim>2</dim>
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-			<data element_type="i64" shape="3" offset="154497564" size="24" />
-			<output>
+		<layer id="171" name="Maximum_104607" type="Maximum" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
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+				<port id="1" precision="I64">
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-			<data special_zero="false" />
+		<layer id="172" name="__module.model.gpt_neox/aten::mul/Multiply" type="Broadcast" version="opset3">
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 			<output>
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+				<port id="2" precision="FP32" names="310,causal_mask.1">
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+				<port id="0" precision="I64" />
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@@ -2806,271 +2675,256 @@
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+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
+				<port id="2" precision="I64" />
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+			<output>
+				<port id="3" precision="I64">
 					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="222" name="SliceAssign_497/Reshape" type="Reshape" version="opset1">
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+				<port id="0" precision="I64">
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@@ -3078,7 +2932,7 @@
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@@ -3086,584 +2940,633 @@
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-					<dim>80</dim>
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-				<port id="3" precision="FP32">
-					<dim>-1</dim>
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 		</layer>
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+		<layer id="249" name="Constant_122731" type="Const" version="opset1">
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 		</layer>
-		<layer id="254" name="Convert_448880" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="250" name="Reshape_122732" type="Reshape" version="opset1">
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 			<input>
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 		</layer>
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 			<input>
-				<port id="0" precision="FP16">
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 		</layer>
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-				<port id="1" precision="FP16">
-					<dim>10240</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="252" name="Constant_1230" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="2" precision="FP16">
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="258" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="253" name="Constant_1225" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="259" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="254" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_11" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>1</dim>
 					<dim>-1</dim>
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 				</port>
-				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="260" name="Constant_325199" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="187334788" size="40960" />
+		<layer id="255" name="__module.model.gpt_neox.layers.0.attention/aten::scaled_dot_product_attention/ConvertLike" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="148977236" size="4" />
 			<output>
-				<port id="0" precision="FP32">
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-					<dim>1</dim>
-					<dim>10240</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="261" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="256" name="__module.model.gpt_neox.layers.0.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
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-					<dim>10240</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="446">
+				<port id="5" precision="FP32" names="455,attn_output.1">
 					<dim>-1</dim>
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 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="262" name="__module.model.gpt_neox.layers.0.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
-			<data approximation_mode="ERF" />
+		<layer id="257" name="__module.model.gpt_neox.layers.0.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="258" name="__module.model.gpt_neox.layers.0.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="447">
+				<port id="2" precision="FP32" names="456">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="259" name="Constant_1272" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148976976" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="260" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="261" name="__module.model.gpt_neox.layers.0.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="459">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="263" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="187375748" size="26214400" />
+		<layer id="262" name="self.model.gpt_neox.layers.0.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="148977240" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="264" name="Convert_448888" type="Convert" version="opset1">
+		<layer id="263" name="Convert_567647" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="265" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="213590148" size="2560" />
+		<layer id="264" name="self.model.gpt_neox.layers.0.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="155530840" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -3671,7 +3574,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="266" name="Convert_448891" type="Convert" version="opset1">
+		<layer id="265" name="Convert_567650" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3686,12 +3589,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="267" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="266" name="self.model.gpt_neox.layers.0.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -3701,12 +3604,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="268" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="213592708" size="5120" />
+		<layer id="267" name="self.model.gpt_neox.layers.0.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="155533400" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -3714,12 +3617,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="269" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="268" name="self.model.gpt_neox.layers.0.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -3729,36 +3632,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="270" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="269" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="271" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="270" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -3769,17 +3675,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="272" name="Constant_325200" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="213597828" size="10240" />
+		<layer id="271" name="self.model.gpt_neox.layers.0.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="155538520" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.attention.dense.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="273" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="272" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="273" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3788,20 +3708,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="450,input.5">
+				<port id="2" precision="FP32" names="463,465,input.3">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="274" name="__module.model.gpt_neox.layers.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="274" name="__module.model.gpt_neox.layers.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3816,14 +3734,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="452,454,hidden_states.3">
+				<port id="2" precision="FP32" names="469,input.5">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="275" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="275" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -3831,7 +3749,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="276" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="276" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3851,8 +3769,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="Constant_325201" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="213608068" size="10240" />
+		<layer id="277" name="Constant_117144" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="155543640" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3861,7 +3779,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="278" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3883,8 +3801,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="Constant_325202" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="213618308" size="10240" />
+		<layer id="279" name="Constant_117145" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="155553880" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3893,7 +3811,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="280" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="280" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3908,124 +3826,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="464">
+				<port id="2" precision="FP32" names="473">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="281" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="213628548" size="19660800" />
+		<layer id="281" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="155564120" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="Convert_448899" type="Convert" version="opset1">
+		<layer id="282" name="Convert_155135" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="283" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="233289348" size="7680" />
+		<layer id="283" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="181778520" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="Convert_448902" type="Convert" version="opset1">
+		<layer id="284" name="Convert_155138" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="285" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="233297028" size="15360" />
+		<layer id="286" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="181788760" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="287" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="287" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="288" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="289" name="__module.model.gpt_neox.layers.1.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="289" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4034,7 +3955,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -4042,529 +3963,663 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="290" name="Constant_325203" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="233312388" size="30720" />
+		<layer id="290" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="181809240" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="291" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="__module.model.gpt_neox.layers.1.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="292" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="471,qkv.5">
+				<port id="2" precision="FP32" names="478,input.7">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="292" name="__module.model.gpt_neox.layers.1.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992288" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="293" name="__module.model.gpt_neox.layers.1.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="293" name="__module.model.gpt_neox.layers.0.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="475,qkv.7">
+				<port id="1" precision="FP32" names="479">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="294" name="Constant_294734" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="294" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="181829720" size="26214400" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="295" name="Constant_294737" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="295" name="Convert_159432" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="296" name="Constant_294740" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="296" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="208044120" size="2560" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="297" name="Convert_159435" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
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-				</port>
-				<port id="3" precision="I64">
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+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
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+					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="322" name="self.model.gpt_neox.layers.1.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="227761240" size="15360" />
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.attention.query_key_value.bias">
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 			</output>
 		</layer>
-		<layer id="322" name="Gather_401897" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="323" name="__module.model.gpt_neox.layers.1.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
+			</rt_info>
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+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="324" name="__module.model.gpt_neox.layers.1.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+				<port id="1" precision="FP32">
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 		</layer>
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-			<data output_type="i64" />
+		<layer id="325" name="Constant_125438" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="326" name="__module.model.gpt_neox.layers.1.attention/aten::view/Reshape" type="Reshape" version="opset1">
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+			</input>
 			<output>
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+				<port id="2" precision="FP32" names="505">
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+					<dim>-1</dim>
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+					<dim>240</dim>
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 		</layer>
-		<layer id="325" name="Constant_338007" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="327" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
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+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="328" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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+					<dim>240</dim>
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 					<dim>4</dim>
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-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="506,qkv.3">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
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 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="329" name="__module.model.gpt_neox.layers.1.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
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+				<port id="2" precision="I32">
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="3" precision="FP32" names="508,q.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="4" precision="FP32" names="509,k.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="5" precision="FP32" names="510,value_states.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
-			<input>
+		<layer id="330" name="Constant_1432" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="331" name="Constant_1435" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="2" precision="I64" names="490,494,495,seq_len.5">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="330" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="332" name="Constant_1430" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="331" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="333" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -4576,60 +4631,20 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="498,501,cos.5">
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-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="332" name="Constant_38233" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="333" name="__module.model.gpt_neox.layers.1.attention/aten::index/Gather" type="Gather" version="opset8">
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-					<dim>-1</dim>
-					<dim>80</dim>
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-					<dim>-1</dim>
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-					<dim>-1</dim>
-					<dim>80</dim>
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-		</layer>
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="505,cos.7">
+				<port id="5" precision="FP32" names="514,q_rot.3">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="335" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="334" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4646,7 +4661,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="509">
+				<port id="2" precision="FP32" names="518">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -4654,24 +4669,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="336" name="Constant_294769" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="335" name="Constant_1614" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="337" name="Constant_294768" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="336" name="Constant_1616" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="337" name="Constant_1573" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="338" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4679,119 +4701,88 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="339" name="__module.model.gpt_neox.layers.1.attention/aten::size/Constant_5" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
-			</output>
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="510,515" />
+				<port id="5" precision="FP32" names="528,x2.5">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="339" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="342" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
+		<layer id="340" name="__module.model.gpt_neox.layers.1.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32" />
 			</input>
 			<output>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="344" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="341" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="529">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="342" name="Constant_1481" type="Const" version="opset1">
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 			<output>
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 				<port id="0" precision="I64">
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 					<dim>1</dim>
 				</port>
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-				<port id="3" precision="I32">
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 			</output>
 		</layer>
-		<layer id="347" name="Constant_294773" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="343" name="Constant_1522" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="348" name="Constant_294776" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="344" name="Constant_1479" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="345" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4800,17 +4791,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="519,x2.5">
+				<port id="5" precision="FP32" names="523,x1.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -4818,19 +4812,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="350" name="Constant_325204" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="351" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="346" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4839,39 +4822,23 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="520">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="352" name="Constant_294821" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="353" name="Constant_294826" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="531">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="354" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="347" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4879,43 +4846,40 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="514">
+				<port id="2" precision="FP32" names="532">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="355" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="348" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="522">
+				<port id="2" precision="FP32" names="533,551,q_embed.3,query.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -4923,16 +4887,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="356" name="self.model.gpt_neox.layers.1.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="349" name="Constant_128016" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="350" name="Constant_128009" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.1.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="357" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
+		<layer id="351" name="Constant_128011" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4940,20 +4909,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="358" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="352" name="Constant_128013" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="353" name="Concat_128014" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -4966,59 +4934,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="499,502,sin.5">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="Constant_38236" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="361" name="__module.model.gpt_neox.layers.1.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="354" name="Broadcast_128017" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="507">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="__module.model.gpt_neox.layers.1.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="355" name="ReadValue_127421" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.1.keypresent.1.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="508,sin.7">
+				<port id="1" precision="FP32" names="past_key_values.1.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="363" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="356" name="Constant_126823" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="357" name="Gather_126824" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5026,15 +4990,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="523">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5042,8 +5004,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="364" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="358" name="Constant_1450" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="359" name="Constant_1453" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="360" name="Constant_1448" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="361" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5051,15 +5036,21 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="524,542,552,query.11,query.9">
+				<port id="5" precision="FP32" names="516,k_rot.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5067,28 +5058,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="365" name="Constant_817" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="480">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="366" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="362" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="481,key.7">
+				<port id="2" precision="FP32" names="534">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5096,32 +5083,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="367" name="Constant_294872" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="363" name="Constant_1823" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="368" name="Constant_294875" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="364" name="Constant_1825" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="Constant_294878" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="365" name="Constant_1782" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="370" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="366" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5130,67 +5116,87 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="487,k.3">
+				<port id="5" precision="FP32" names="544,x2.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="371" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="367" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="368" name="__module.model.gpt_neox.layers.1.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="369" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="525">
+				<port id="2" precision="FP32" names="545">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="372" name="Constant_294882" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="370" name="Constant_1690" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="373" name="Constant_294881" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="371" name="Constant_1731" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<data output_type="i64" />
+		<layer id="372" name="Constant_1688" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="373" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5198,218 +5204,21 @@
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 					<dim>80</dim>
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 				<port id="1" precision="I64">
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-				<port id="1" precision="I64">
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+					<dim>1</dim>
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 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
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-		<layer id="388" name="Constant_294934" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="389" name="Constant_294939" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="530">
+				<port id="5" precision="FP32" names="539,x1.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5417,7 +5226,7 @@
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 			</output>
 		</layer>
-		<layer id="391" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="374" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5434,7 +5243,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="538">
+				<port id="2" precision="FP32" names="547">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5442,7 +5251,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="375" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5459,7 +5268,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="539">
+				<port id="2" precision="FP32" names="548">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5467,7 +5276,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="393" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="376" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5484,7 +5293,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="540,544">
+				<port id="2" precision="FP32" names="549,553,k_embed.3,key_states.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5492,7 +5301,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="394" name="__module.model.gpt_neox.layers.1.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="377" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5509,7 +5318,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.1.key">
+				<port id="2" precision="FP32" names="key.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5517,13 +5326,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="395" name="Constant_432677" type="Const" version="opset1">
+		<layer id="378" name="Constant_128004" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="396" name="Constant_432670" type="Const" version="opset1">
+		<layer id="379" name="Constant_127997" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5531,7 +5340,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="Constant_432672" type="Const" version="opset1">
+		<layer id="380" name="Constant_127999" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5539,7 +5348,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="Constant_432674" type="Const" version="opset1">
+		<layer id="381" name="Constant_128001" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5547,7 +5356,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="Concat_432675" type="Concat" version="opset1">
+		<layer id="382" name="Concat_128002" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -5569,7 +5378,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="Broadcast_432678" type="Broadcast" version="opset3">
+		<layer id="383" name="Broadcast_128005" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -5586,7 +5395,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="ReadValue_417288" type="ReadValue" version="opset6">
+		<layer id="384" name="ReadValue_127423" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.1.valuepresent.1.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5605,13 +5414,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="Constant_401899" type="Const" version="opset1">
+		<layer id="385" name="Constant_126826" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="403" name="Gather_401900" type="Gather" version="opset8">
+		<layer id="386" name="Gather_126827" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5634,778 +5443,632 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="404" name="Constant_294984" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="387" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="405" name="Constant_294987" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="406" name="Constant_294990" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="value.5">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="407" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="388" name="__module.model.gpt_neox.layers.1.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="482">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="566,attn_output.7">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="408" name="Constant_831" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="389" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
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 			</output>
 		</layer>
-		<layer id="409" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="390" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
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-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="484">
+				<port id="2" precision="FP32" names="567">
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="410" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="391" name="__module.model.gpt_neox.layers.1.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.bias">
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+		<layer id="421" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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+				<attribute name="decompression" version="0" />
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 		</layer>
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+		<layer id="422" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>-1</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="423" name="__module.model.gpt_neox.layers.1.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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 					<dim>-1</dim>
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+					<dim>10240</dim>
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="590">
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 					<dim>-1</dim>
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+					<dim>10240</dim>
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 			</output>
 		</layer>
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+		<layer id="424" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="260629080" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
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+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="461" name="Convert_448910" type="Convert" version="opset1">
+		<layer id="425" name="Convert_168026" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
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+					<dim>10240</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="239896708" size="2560" />
+		<layer id="426" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="286843480" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -6413,7 +6076,7 @@
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 			</output>
 		</layer>
-		<layer id="463" name="Convert_448913" type="Convert" version="opset1">
+		<layer id="427" name="Convert_168029" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6428,12 +6091,12 @@
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 			</output>
 		</layer>
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+		<layer id="428" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -6443,12 +6106,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
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 		</layer>
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-			<data element_type="f16" shape="2560, 1" offset="239899268" size="5120" />
+		<layer id="429" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="286846040" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -6456,12 +6119,12 @@
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 			</output>
 		</layer>
-		<layer id="466" name="self.model.gpt_neox.layers.1.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="430" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -6471,36 +6134,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="431" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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+					<dim>10240</dim>
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 			<output>
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 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
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 		</layer>
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+		<layer id="432" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>10240</dim>
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 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
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 			</input>
 			<output>
@@ -6511,17 +6177,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="469" name="Constant_325206" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="239904388" size="10240" />
+		<layer id="433" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="286851160" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="434" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="470" name="__module.model.gpt_neox.layers.1.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="435" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6530,20 +6210,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="580,582,input.7">
+				<port id="2" precision="FP32" names="593,input.19">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="471" name="__module.model.gpt_neox.layers.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="436" name="__module.model.gpt_neox.layers.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6558,14 +6236,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="586,attn_output.7">
+				<port id="2" precision="FP32" names="595,597,input.21">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="472" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="437" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -6573,7 +6251,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="473" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="438" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6593,8 +6271,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="474" name="Constant_325207" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="239914628" size="10240" />
+		<layer id="439" name="Constant_117150" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="286856280" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6603,7 +6281,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="475" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="440" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6625,8 +6303,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="476" name="Constant_325208" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="239924868" size="10240" />
+		<layer id="441" name="Constant_117151" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="286866520" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6635,7 +6313,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="477" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="442" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6650,124 +6328,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="590">
+				<port id="2" precision="FP32" names="607,hidden_states.5">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="478" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="239935108" size="26214400" />
+		<layer id="443" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="286876760" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="479" name="Convert_448921" type="Convert" version="opset1">
+		<layer id="444" name="Convert_438737" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="480" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="266149508" size="10240" />
+		<layer id="445" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="306537560" size="7680" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="481" name="Convert_448924" type="Convert" version="opset1">
+		<layer id="446" name="Convert_438740" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="482" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="447" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="483" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="266159748" size="20480" />
+		<layer id="448" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="306545240" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="484" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="449" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="485" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="450" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="486" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="451" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6776,7 +6457,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -6784,602 +6465,632 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="487" name="Constant_325209" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="266180228" size="40960" />
+		<layer id="452" name="self.model.gpt_neox.layers.2.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="306560600" size="15360" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.2.attention.query_key_value.bias">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="488" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="453" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>10240</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="595">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>10240</dim>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="489" name="__module.model.gpt_neox.layers.1.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
-			<data approximation_mode="ERF" />
+		<layer id="454" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="596">
+				<port id="2" precision="FP32" names="614">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="266221188" size="26214400" />
+		<layer id="455" name="Constant_125439" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>10240</dim>
+				<port id="0" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="491" name="Convert_448932" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="456" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>10240</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>10240</dim>
+				<port id="2" precision="FP32" names="616">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="492" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="292435588" size="2560" />
+		<layer id="457" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>1</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="493" name="Convert_448935" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="458" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="617,qkv.5">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="459" name="__module.model.gpt_neox.layers.2.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>10240</dim>
+				<port id="0" precision="FP32">
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+					<dim>240</dim>
 				</port>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>1</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>2560</dim>
-					<dim>10240</dim>
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 		</layer>
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-		<layer id="526" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="492" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
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 					<dim>32</dim>
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@@ -7387,32 +7098,31 @@
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+		<layer id="493" name="Constant_2531" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="494" name="Constant_2533" type="Const" version="opset1">
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 			<output>
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 		</layer>
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+		<layer id="495" name="Constant_2490" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="496" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -7421,147 +7131,223 @@
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 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="655,x2.11">
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 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+		<layer id="497" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
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-					<dim>80</dim>
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+				<port id="0" precision="I32" />
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="498" name="__module.model.gpt_neox.layers.2.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
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+			<input>
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 			<output>
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+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="499" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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 		</layer>
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+		<layer id="500" name="Constant_2398" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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 				<port id="0" precision="I64">
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 		</layer>
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 					<dim>-1</dim>
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 				<port id="3" precision="I64">
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 			</input>
 			<output>
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 					<dim>32</dim>
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 		</layer>
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 			<output>
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 		</layer>
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@@ -7569,7 +7355,7 @@
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@@ -7577,7 +7363,7 @@
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@@ -7585,7 +7371,7 @@
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@@ -7607,7 +7393,7 @@
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@@ -7624,8 +7410,8 @@
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@@ -7643,13 +7429,13 @@
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@@ -7672,8 +7458,8 @@
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+				<port id="2" precision="FP32" names="value.9">
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 					<dim>32</dim>
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@@ -39377,32 +7483,8 @@
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+		<layer id="518" name="__module.model.gpt_neox.layers.2.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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@@ -39410,222 +7492,28 @@
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+				<port id="1" precision="FP32">
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-		<layer id="2814" name="__module.model.gpt_neox.layers.12.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
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+				<port id="4" precision="FP32" />
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 			<output>
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+				<port id="5" precision="FP32" names="677,attn_output.13">
 					<dim>-1</dim>
 					<dim>32</dim>
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@@ -39633,14 +7521,15 @@
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 		</layer>
-		<layer id="2830" name="Constant_401962" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="519" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
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+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
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 			<input>
 				<port id="0" precision="FP32">
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@@ -39649,1279 +7538,1081 @@
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 				</port>
 				<port id="1" precision="I32">
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+					<dim>4</dim>
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 			<output>
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 					<dim>-1</dim>
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+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2919" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="589" name="__module.model.gpt_neox.layers.3.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="730,q.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="4" precision="FP32" names="731,k.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.12.value">
+				<port id="5" precision="FP32" names="732,value_states.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -40929,35 +8620,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2920" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="590" name="Constant_2848" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="2200">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2921" name="Constant_298855" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="591" name="Constant_2851" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2922" name="Constant_298854" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="592" name="Constant_2846" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2923" name="ShapeOf_339011" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="593" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -40965,50 +8652,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2924" name="Constant_339012" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2925" name="Constant_339013" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2926" name="Gather_339014" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="736,q_rot.7">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2927" name="Add_339015" type="Add" version="opset1">
+		<layer id="594" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="2195" />
-			</output>
-		</layer>
-		<layer id="2928" name="ShapeOf_339082" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -41016,82 +8683,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2929" name="Constant_339083" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2930" name="Constant_339084" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2931" name="Gather_339085" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2193" />
-			</output>
-		</layer>
-		<layer id="2932" name="__module.model.gpt_neox.layers.12.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="2197,2198" />
+				<port id="2" precision="FP32" names="740">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2933" name="Constant_337710" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="595" name="Constant_3030" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2934" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="596" name="Constant_3032" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2935" name="Constant_298853" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="597" name="Constant_2989" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2936" name="ScatterUpdate_298856" type="ScatterUpdate" version="opset3">
+		<layer id="598" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -41099,139 +8737,88 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2937" name="Constant_298857" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2938" name="Constant_337712" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2939" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="750,x2.13">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2940" name="ScatterUpdate_298858" type="ScatterUpdate" version="opset3">
-			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="599" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2941" name="Constant_298861" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497588" size="24" />
+		<layer id="600" name="__module.model.gpt_neox.layers.3.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2942" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="601" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="2201">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="751">
 					<dim>-1</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2943" name="Constant_298934" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2944" name="Constant_298935" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="602" name="Constant_2897" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2945" name="Constant_298931" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="603" name="Constant_2938" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2946" name="Constant_298930" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="604" name="Constant_2895" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2947" name="ScatterUpdate_298936" type="ScatterUpdate" version="opset3">
+		<layer id="605" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -41239,182 +8826,128 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2948" name="Constant_298939" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2949" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
-			<input>
-				<port id="0" precision="BOOL">
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="2202,2203">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="745,x1.13">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2950" name="__module.model.gpt_neox.layers.12.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2951" name="__module.model.gpt_neox.layers.12.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="154497612" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="2190" />
-			</output>
-		</layer>
-		<layer id="2952" name="__module.model.gpt_neox.layers.12.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="606" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2204,causal_mask.49">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="753">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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+					<dim>80</dim>
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 					<dim>-1</dim>
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="608" name="__module.model.gpt_neox.layers.3.attention/aten::add/Add" type="Add" version="opset1">
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-				<port id="0" precision="I64">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="609" name="Constant_128064" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="610" name="Constant_128057" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="611" name="Constant_128059" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="612" name="Constant_128061" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2961" name="__module.model.gpt_neox.layers.12.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="613" name="Concat_128062" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -41431,51 +8964,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="2205">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2962" name="Maximum_315854" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="614" name="Broadcast_128065" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
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 				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2963" name="__module.model.gpt_neox.layers.12.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="615" name="ReadValue_127509" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.3.keypresent.3.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.3.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="616" name="Constant_126835" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="617" name="Gather_126836" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -41483,43 +9020,45 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="618" name="Constant_2866" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="619" name="Constant_2869" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2965" name="Constant_7663" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="620" name="Constant_2864" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I64" names="2210">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2966" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="621" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -41528,530 +9067,551 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="738,k_rot.7">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="622" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="756">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 2560" offset="1100642948" size="6553600" />
+		<layer id="623" name="Constant_3239" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="624" name="Constant_3241" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="1107196548" size="2560" />
+		<layer id="625" name="Constant_3198" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2972" name="Convert_449397" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="626" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="2973" name="self.model.gpt_neox.layers.12.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
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 					<dim>1</dim>
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 			</input>
 			<output>
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-					<dim>2560</dim>
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-			<output>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-				<port id="1" precision="FP16">
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-					<dim>1</dim>
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+		<layer id="627" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="2" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2976" name="self.model.gpt_neox.layers.12.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="628" name="__module.model.gpt_neox.layers.3.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
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-					<dim>2560</dim>
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 			<output>
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-					<dim>2560</dim>
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+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="629" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-				<port id="1" precision="FP32">
-					<dim>2560</dim>
-					<dim>2560</dim>
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+				<port id="1" precision="FP32" />
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 			<output>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>40</dim>
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 			<output>
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 					<dim>1</dim>
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+		<layer id="631" name="Constant_3147" type="Const" version="opset1">
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+				<port id="0" precision="I64">
 					<dim>1</dim>
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 					<dim>2560</dim>
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+					<dim>2560</dim>
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 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3001" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1159735428" size="2560" />
+		<layer id="654" name="self.model.gpt_neox.layers.3.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="391928920" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -42059,7 +9619,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3002" name="Convert_449419" type="Convert" version="opset1">
+		<layer id="655" name="Convert_580541" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42074,12 +9634,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3003" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="656" name="self.model.gpt_neox.layers.3.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -42089,12 +9649,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
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 		</layer>
-		<layer id="3004" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1159737988" size="5120" />
+		<layer id="657" name="self.model.gpt_neox.layers.3.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="391931480" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -42102,12 +9662,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3005" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="658" name="self.model.gpt_neox.layers.3.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -42117,36 +9677,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3006" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="659" name="__module.model.gpt_neox.layers.3.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3007" name="__module.model.gpt_neox.layers.12.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="660" name="__module.model.gpt_neox.layers.3.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -42157,17 +9720,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3008" name="Constant_325320" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1159743108" size="10240" />
+		<layer id="661" name="self.model.gpt_neox.layers.3.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="391936600" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.3.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="662" name="__module.model.gpt_neox.layers.3.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3009" name="__module.model.gpt_neox.layers.12.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="663" name="__module.model.gpt_neox.layers.3.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42176,20 +9753,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2238,input.53">
+				<port id="2" precision="FP32" names="796,798,input.33">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3010" name="__module.model.gpt_neox.layers.12/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="664" name="__module.model.gpt_neox.layers.3/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42204,14 +9779,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2240,2242,hidden_states.27">
+				<port id="2" precision="FP32" names="802,input.35">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3011" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="665" name="__module.model.gpt_neox.layers.3.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -42219,7 +9794,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3012" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="666" name="__module.model.gpt_neox.layers.3.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42239,8 +9814,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3013" name="Constant_325321" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1159753348" size="10240" />
+		<layer id="667" name="Constant_117156" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="391941720" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -42249,7 +9824,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3014" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="668" name="__module.model.gpt_neox.layers.3.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42271,8 +9846,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3015" name="Constant_325322" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1159763588" size="10240" />
+		<layer id="669" name="Constant_117157" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="391951960" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -42281,7 +9856,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3016" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="670" name="__module.model.gpt_neox.layers.3.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42296,124 +9871,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2252">
+				<port id="2" precision="FP32" names="806">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3017" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1159773828" size="19660800" />
+		<layer id="671" name="self.model.gpt_neox.layers.3.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="391962200" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3018" name="Convert_449427" type="Convert" version="opset1">
+		<layer id="672" name="Convert_180917" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3019" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1179434628" size="7680" />
+		<layer id="673" name="self.model.gpt_neox.layers.3.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="418176600" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3020" name="Convert_449430" type="Convert" version="opset1">
+		<layer id="674" name="Convert_180920" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3021" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="675" name="self.model.gpt_neox.layers.3.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3022" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1179442308" size="15360" />
+		<layer id="676" name="self.model.gpt_neox.layers.3.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="418186840" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3023" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="677" name="self.model.gpt_neox.layers.3.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3024" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="678" name="__module.model.gpt_neox.layers.3.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3025" name="__module.model.gpt_neox.layers.13.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="679" name="__module.model.gpt_neox.layers.3.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42422,7 +10000,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -42430,1053 +10008,626 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3026" name="Constant_325323" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1179457668" size="30720" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3027" name="__module.model.gpt_neox.layers.13.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
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-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="2259,qkv.53">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3028" name="__module.model.gpt_neox.layers.13.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992288" size="32" />
+		<layer id="680" name="self.model.gpt_neox.layers.3.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="418207320" size="20480" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.3.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3029" name="__module.model.gpt_neox.layers.13.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="681" name="__module.model.gpt_neox.layers.3.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
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-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="712" name="self.model.gpt_neox.layers.4.attention.query_key_value.bias" type="Const" version="opset1">
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-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.4.attention.query_key_value.bias">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3093" name="__module.model.gpt_neox.layers.13.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+		<layer id="713" name="__module.model.gpt_neox.layers.4.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
+					<dim>7680</dim>
 				</port>
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-		</layer>
-		<layer id="3094" name="__module.model.gpt_neox.layers.13.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
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 			<output>
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+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="714" name="__module.model.gpt_neox.layers.4.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="836">
 					<dim>-1</dim>
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+					<dim>-1</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3096" name="Constant_38308" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="715" name="Constant_125441" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="716" name="__module.model.gpt_neox.layers.4.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2295">
+				<port id="2" precision="FP32" names="838">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3098" name="__module.model.gpt_neox.layers.13.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
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-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="717" name="__module.model.gpt_neox.layers.4.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="2" precision="FP32" names="2296,sin.55">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3099" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="718" name="__module.model.gpt_neox.layers.4.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2311">
+				<port id="2" precision="FP32" names="839,qkv.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3100" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="719" name="__module.model.gpt_neox.layers.4.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2312,2330,2340,query.81,query.83">
+				<port id="3" precision="FP32" names="841,q.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3101" name="Constant_7789" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="2268">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3102" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="842,k.9">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="2269,key.79">
+				<port id="5" precision="FP32" names="843,value_states.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43484,32 +10635,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3103" name="Constant_299084" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="720" name="Constant_3556" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3104" name="Constant_299087" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="721" name="Constant_3559" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3105" name="Constant_299090" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="722" name="Constant_3554" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3106" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="723" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43518,17 +10668,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2275,k.27">
+				<port id="5" precision="FP32" names="847,q_rot.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43536,7 +10689,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3107" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="724" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43553,7 +10706,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2313">
+				<port id="2" precision="FP32" names="851">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43561,144 +10714,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3108" name="Constant_299094" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3109" name="Constant_299093" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="725" name="Constant_3738" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3110" name="__module.model.gpt_neox.layers.13.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3111" name="__module.model.gpt_neox.layers.13.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3112" name="__module.model.gpt_neox.layers.13.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2314,2319" />
-			</output>
-		</layer>
-		<layer id="3113" name="__module.model.gpt_neox.layers.13.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3114" name="__module.model.gpt_neox.layers.13.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="2316,2317,2321,2322" />
-			</output>
-		</layer>
-		<layer id="3115" name="Constant_337718" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="726" name="Constant_3740" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3116" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3117" name="Constant_299092" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="727" name="Constant_3697" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3118" name="ScatterUpdate_299095" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3119" name="Constant_299098" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3120" name="Constant_299101" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="3121" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="728" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43707,17 +10747,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2323,x2.55">
+				<port id="5" precision="FP32" names="861,x2.17">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43725,18 +10768,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3122" name="Constant_325325" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="729" name="__module.model.gpt_neox.layers.4.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="730" name="__module.model.gpt_neox.layers.4.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3123" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="731" name="__module.model.gpt_neox.layers.4.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43745,15 +10792,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="862">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43761,24 +10803,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3124" name="Constant_299146" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="732" name="Constant_3605" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3125" name="Constant_299151" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="733" name="Constant_3646" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="734" name="Constant_3603" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3126" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="735" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43787,17 +10836,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2318">
+				<port id="5" precision="FP32" names="856,x1.17">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43805,7 +10857,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3127" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="736" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43822,7 +10874,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2326">
+				<port id="2" precision="FP32" names="864">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43830,7 +10882,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3128" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="737" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43847,7 +10899,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2327">
+				<port id="2" precision="FP32" names="865">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43855,7 +10907,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3129" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="738" name="__module.model.gpt_neox.layers.4.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43872,32 +10924,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2328,2332">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3130" name="__module.model.gpt_neox.layers.13.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.13.key">
+				<port id="2" precision="FP32" names="866,884,q_embed.9,query.17">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43905,13 +10932,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3131" name="Constant_432989" type="Const" version="opset1">
+		<layer id="739" name="Constant_128088" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3132" name="Constant_432982" type="Const" version="opset1">
+		<layer id="740" name="Constant_128081" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -43919,7 +10946,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3133" name="Constant_432984" type="Const" version="opset1">
+		<layer id="741" name="Constant_128083" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -43927,7 +10954,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3134" name="Constant_432986" type="Const" version="opset1">
+		<layer id="742" name="Constant_128085" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -43935,7 +10962,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3135" name="Concat_432987" type="Concat" version="opset1">
+		<layer id="743" name="Concat_128086" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -43957,7 +10984,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3136" name="Broadcast_432990" type="Broadcast" version="opset3">
+		<layer id="744" name="Broadcast_128089" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -43974,8 +11001,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3137" name="ReadValue_417304" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.13.valuepresent.13.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="745" name="ReadValue_127521" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.4.keypresent.4.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43985,7 +11012,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.13.value">
+				<port id="1" precision="FP32" names="past_key_values.4.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43993,13 +11020,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3138" name="Constant_401971" type="Const" version="opset1">
+		<layer id="746" name="Constant_126841" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3139" name="Gather_401972" type="Gather" version="opset8">
+		<layer id="747" name="Gather_126842" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44022,80 +11049,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3140" name="Constant_299196" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="748" name="Constant_3574" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3141" name="Constant_299199" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="749" name="Constant_3577" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3142" name="Constant_299202" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="750" name="Constant_3572" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3143" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="751" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="2270">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3144" name="Constant_7803" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="2271">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3145" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2272">
+				<port id="5" precision="FP32" names="849,k_rot.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -44103,8 +11103,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3146" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="752" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -44114,13 +11114,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.13.value">
+				<port id="2" precision="FP32" names="867">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -44128,86 +11128,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3147" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
-			<output>
-				<port id="0" precision="BOOL" names="2349">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3148" name="Constant_299206" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="753" name="Constant_3947" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3149" name="Constant_299205" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="754" name="Constant_3949" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3150" name="ShapeOf_339102" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3151" name="Constant_339103" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3152" name="Constant_339104" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="755" name="Constant_3906" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3153" name="Gather_339105" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3154" name="Add_339106" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="2344" />
 			</output>
 		</layer>
-		<layer id="3155" name="ShapeOf_339173" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="756" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -44215,222 +11160,94 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3156" name="Constant_339174" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3157" name="Constant_339175" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="3158" name="Gather_339176" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2342" />
-			</output>
-		</layer>
-		<layer id="3159" name="__module.model.gpt_neox.layers.13.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" names="2346,2347" />
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+		<layer id="759" name="__module.model.gpt_neox.layers.4.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
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+					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="760" name="Constant_3814" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="761" name="Constant_3855" type="Const" version="opset1">
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 		</layer>
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+		<layer id="762" name="Constant_3812" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="3174" name="ScatterUpdate_299287" type="ScatterUpdate" version="opset3">
+		<layer id="763" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
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-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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 				<port id="1" precision="I64">
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@@ -44438,182 +11255,153 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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 				</port>
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-			<output>
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+					<dim>1</dim>
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-		<layer id="3175" name="Constant_299290" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
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+				<port id="5" precision="FP32" names="872,x1.19">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="764" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
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-					<dim>1</dim>
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-				<port id="2" precision="I64">
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 			<output>
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-		</layer>
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+		<layer id="765" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
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 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="766" name="__module.model.gpt_neox.layers.4.attention/aten::add/Add_1" type="Add" version="opset1">
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="767" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat_4" type="Concat" version="opset1">
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 				<port id="0" precision="FP32">
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+					<dim>80</dim>
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+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>-1</dim>
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 		</layer>
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+		<layer id="768" name="Constant_128076" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
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+		<layer id="769" name="Constant_128069" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="770" name="Constant_128071" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="771" name="Constant_128073" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="3188" name="__module.model.gpt_neox.layers.13.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="772" name="Concat_128074" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -44630,50 +11418,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="2354">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3189" name="Maximum_315926" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="773" name="Broadcast_128077" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3190" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="774" name="ReadValue_127523" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.4.valuepresent.4.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.4.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="775" name="Constant_126844" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="776" name="Gather_126845" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
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+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="777" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2356">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.17">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3191" name="__module.model.gpt_neox.layers.13.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="778" name="__module.model.gpt_neox.layers.4.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44700,9 +11540,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2357,2358,sdpa_result.27,tensor.53">
+				<port id="5" precision="FP32" names="899,attn_output.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -44710,15 +11551,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3192" name="Constant_8244" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="779" name="__module.model.gpt_neox.layers.4.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64" names="2359">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3193" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="780" name="__module.model.gpt_neox.layers.4.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -44726,12 +11567,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2360">
+				<port id="2" precision="FP32" names="900">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -44739,16 +11580,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3194" name="__module.model.gpt_neox.layers.13.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3195" name="__module.model.gpt_neox.layers.13.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="781" name="__module.model.gpt_neox.layers.4.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -44761,15 +11594,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2365">
+				<port id="2" precision="FP32" names="903">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3196" name="self.model.gpt_neox.layers.13.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1179488388" size="6553600" />
+		<layer id="782" name="self.model.gpt_neox.layers.4.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="464174680" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -44777,7 +11610,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3197" name="Convert_449438" type="Convert" version="opset1">
+		<layer id="783" name="Convert_584835" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -44792,8 +11625,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3198" name="self.model.gpt_neox.layers.13.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1186041988" size="2560" />
+		<layer id="784" name="self.model.gpt_neox.layers.4.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="470728280" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -44801,7 +11634,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3199" name="Convert_449441" type="Convert" version="opset1">
+		<layer id="785" name="Convert_584838" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -44816,7 +11649,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3200" name="self.model.gpt_neox.layers.13.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="786" name="self.model.gpt_neox.layers.4.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -44835,8 +11668,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3201" name="self.model.gpt_neox.layers.13.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1186044548" size="5120" />
+		<layer id="787" name="self.model.gpt_neox.layers.4.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="470730840" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -44844,7 +11677,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3202" name="self.model.gpt_neox.layers.13.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="788" name="self.model.gpt_neox.layers.4.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -44863,8 +11696,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3203" name="self.model.gpt_neox.layers.13.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="789" name="__module.model.gpt_neox.layers.4.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -44878,13 +11714,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3204" name="__module.model.gpt_neox.layers.13.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="790" name="__module.model.gpt_neox.layers.4.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -44899,17 +11735,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3205" name="Constant_325326" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1186049668" size="10240" />
+		<layer id="791" name="self.model.gpt_neox.layers.4.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="470735960" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.4.attention.dense.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3206" name="__module.model.gpt_neox.layers.13.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="792" name="__module.model.gpt_neox.layers.4.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="793" name="__module.model.gpt_neox.layers.4.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44918,20 +11768,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2368,2370,input.55">
+				<port id="2" precision="FP32" names="907,909,input.43">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3207" name="__module.model.gpt_neox.layers.13/aten::add/Add" type="Add" version="opset1">
+		<layer id="794" name="__module.model.gpt_neox.layers.4/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44946,14 +11794,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2374,attn_output.55">
+				<port id="2" precision="FP32" names="913,input.45">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3208" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="795" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -44961,7 +11809,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3209" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="796" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44981,8 +11829,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3210" name="Constant_325327" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1186059908" size="10240" />
+		<layer id="797" name="Constant_117160" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="470741080" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -44991,7 +11839,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3211" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="798" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45013,8 +11861,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3212" name="Constant_325328" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1186070148" size="10240" />
+		<layer id="799" name="Constant_117161" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="470751320" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45023,7 +11871,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3213" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="800" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45038,15 +11886,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2378">
+				<port id="2" precision="FP32" names="917">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3214" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="1186080388" size="26214400" />
+		<layer id="801" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="470761560" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -45054,7 +11902,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3215" name="Convert_449449" type="Convert" version="opset1">
+		<layer id="802" name="Convert_189511" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45069,8 +11917,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3216" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="1212294788" size="10240" />
+		<layer id="803" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="496975960" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -45078,7 +11926,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3217" name="Convert_449452" type="Convert" version="opset1">
+		<layer id="804" name="Convert_189514" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45093,7 +11941,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3218" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="805" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45112,8 +11960,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3219" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="1212305028" size="20480" />
+		<layer id="806" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="496986200" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -45121,7 +11969,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3220" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="807" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45140,8 +11988,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3221" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="808" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -45155,7 +12006,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3222" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="809" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45176,17 +12027,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3223" name="Constant_325329" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1212325508" size="40960" />
+		<layer id="810" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="497006680" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="811" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3224" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="812" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45195,20 +12060,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2383">
+				<port id="2" precision="FP32" names="922,input.47">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3225" name="__module.model.gpt_neox.layers.13.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="813" name="__module.model.gpt_neox.layers.4.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45218,15 +12081,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="2384">
+				<port id="1" precision="FP32" names="923">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3226" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1212366468" size="26214400" />
+		<layer id="814" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="497027160" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -45234,7 +12097,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3227" name="Convert_449460" type="Convert" version="opset1">
+		<layer id="815" name="Convert_193808" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45249,8 +12112,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3228" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1238580868" size="2560" />
+		<layer id="816" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="523241560" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -45258,7 +12121,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3229" name="Convert_449463" type="Convert" version="opset1">
+		<layer id="817" name="Convert_193811" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45273,7 +12136,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3230" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="818" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45292,8 +12155,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3231" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1238583428" size="5120" />
+		<layer id="819" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="523244120" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -45301,7 +12164,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3232" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="820" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45320,8 +12183,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3233" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="821" name="__module.model.gpt_neox.layers.4.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -45335,7 +12201,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3234" name="__module.model.gpt_neox.layers.13.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="822" name="__module.model.gpt_neox.layers.4.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45356,17 +12222,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3235" name="Constant_325330" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1238588548" size="10240" />
+		<layer id="823" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="523249240" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="824" name="__module.model.gpt_neox.layers.4.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3236" name="__module.model.gpt_neox.layers.13.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="825" name="__module.model.gpt_neox.layers.4.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45375,20 +12255,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2387,input.57">
+				<port id="2" precision="FP32" names="926,input.49">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3237" name="__module.model.gpt_neox.layers.13/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="826" name="__module.model.gpt_neox.layers.4/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45403,14 +12281,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2389,2391,hidden_states.29">
+				<port id="2" precision="FP32" names="928,930,input.51">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3238" name="__module.model.gpt_neox.layers.14.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="827" name="__module.model.gpt_neox.layers.5.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -45418,7 +12296,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3239" name="__module.model.gpt_neox.layers.14.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="828" name="__module.model.gpt_neox.layers.5.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45438,8 +12316,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3240" name="Constant_325331" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1238598788" size="10240" />
+		<layer id="829" name="Constant_117162" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="523254360" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45448,7 +12326,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3241" name="__module.model.gpt_neox.layers.14.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="830" name="__module.model.gpt_neox.layers.5.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45470,8 +12348,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3242" name="Constant_325332" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1238609028" size="10240" />
+		<layer id="831" name="Constant_117163" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="523264600" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45480,7 +12358,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3243" name="__module.model.gpt_neox.layers.14.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="832" name="__module.model.gpt_neox.layers.5.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45495,15 +12373,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2401">
+				<port id="2" precision="FP32" names="940,hidden_states.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3244" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1238619268" size="19660800" />
+		<layer id="833" name="self.model.gpt_neox.layers.5.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="523274840" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -45511,7 +12389,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3245" name="Convert_449471" type="Convert" version="opset1">
+		<layer id="834" name="Convert_451628" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45526,8 +12404,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3246" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1258280068" size="7680" />
+		<layer id="835" name="self.model.gpt_neox.layers.5.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="542935640" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -45535,7 +12413,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3247" name="Convert_449474" type="Convert" version="opset1">
+		<layer id="836" name="Convert_451631" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -45550,7 +12428,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3248" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="837" name="self.model.gpt_neox.layers.5.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45569,8 +12447,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3249" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1258287748" size="15360" />
+		<layer id="838" name="self.model.gpt_neox.layers.5.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="542943320" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -45578,7 +12456,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3250" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="839" name="self.model.gpt_neox.layers.5.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -45597,8 +12475,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3251" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="840" name="__module.model.gpt_neox.layers.5.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -45612,7 +12493,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3252" name="__module.model.gpt_neox.layers.14.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="841" name="__module.model.gpt_neox.layers.5.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45633,141 +12514,628 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3253" name="Constant_325333" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1258303108" size="30720" />
+		<layer id="842" name="self.model.gpt_neox.layers.5.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="542958680" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.5.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="843" name="__module.model.gpt_neox.layers.5.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="844" name="__module.model.gpt_neox.layers.5.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="947">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="845" name="Constant_125442" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="846" name="__module.model.gpt_neox.layers.5.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
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 		</layer>
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-			</output>
-		</layer>
-		<layer id="3262" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="882" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2415,query.85">
+				<port id="2" precision="FP32" names="978">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45775,32 +13143,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3263" name="Constant_299309" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="883" name="Constant_4655" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3264" name="Constant_299312" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="884" name="Constant_4657" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3265" name="Constant_299315" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="885" name="Constant_4614" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="886" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45809,147 +13176,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="988,x2.23">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3267" name="self.model.gpt_neox.layers.14.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+		<layer id="887" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.14.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3268" name="__module.model.gpt_neox.layers.14.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="888" name="__module.model.gpt_neox.layers.5.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="889" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="989">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3269" name="Constant_299321" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="890" name="Constant_4522" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="3270" name="Constant_299324" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="891" name="Constant_4563" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3271" name="Constant_299327" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="892" name="Constant_4520" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="893" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2416">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="983,x1.23">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3273" name="ShapeOf_339183" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="894" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="991">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3274" name="Constant_341012" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="895" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="992">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3275" name="Constant_339185" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="896" name="__module.model.gpt_neox.layers.5.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="993,997,k_embed.11,key_states.13">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3276" name="Gather_339186" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="897" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2426">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.21">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3277" name="Constant_433002" type="Const" version="opset1">
+		<layer id="898" name="Constant_128100" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3278" name="Constant_432995" type="Const" version="opset1">
+		<layer id="899" name="Constant_128093" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -45957,7 +13400,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3279" name="Constant_432997" type="Const" version="opset1">
+		<layer id="900" name="Constant_128095" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -45965,7 +13408,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3280" name="Constant_432999" type="Const" version="opset1">
+		<layer id="901" name="Constant_128097" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -45973,7 +13416,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3281" name="Concat_433000" type="Concat" version="opset1">
+		<layer id="902" name="Concat_128098" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -45995,7 +13438,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3282" name="Broadcast_433003" type="Broadcast" version="opset3">
+		<layer id="903" name="Broadcast_128101" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -46012,8 +13455,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3283" name="ReadValue_417306" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.14.keypresent.14.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="904" name="ReadValue_127527" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.5.valuepresent.5.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -46023,7 +13466,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.14.key">
+				<port id="1" precision="FP32" names="past_key_values.5.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -46031,13 +13474,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3284" name="Constant_401974" type="Const" version="opset1">
+		<layer id="905" name="Constant_126850" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3285" name="Gather_401975" type="Gather" version="opset8">
+		<layer id="906" name="Gather_126851" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46060,8 +13503,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3286" name="ShapeOf_339188" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="907" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -46069,171 +13512,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-			</output>
-		</layer>
-		<layer id="3287" name="Constant_339189" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="3288" name="Constant_339190" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="3289" name="Gather_339191" type="Gather" version="opset8">
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-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" names="2428" />
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-		<layer id="3290" name="Constant_337724" type="Const" version="opset1">
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-				<port id="0" precision="I64">
-					<dim>1</dim>
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-		</layer>
-		<layer id="3291" name="Reshape_340933" type="Reshape" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-				<port id="1" precision="I64">
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>80</dim>
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+				<port id="2" precision="FP32" names="value.21">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="3297" name="__module.model.gpt_neox.layers.14.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="908" name="__module.model.gpt_neox.layers.5.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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-				<port id="1" precision="I64" />
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-				<port id="2" precision="FP32" names="2442,cos.59">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>80</dim>
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-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1010,attn_output.31">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -46241,24 +13566,15 @@
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 			</output>
 		</layer>
-		<layer id="3299" name="Constant_299332" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="909" name="__module.model.gpt_neox.layers.5.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
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+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64">
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-			<data output_type="i64" />
+		<layer id="910" name="__module.model.gpt_neox.layers.5.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -46266,1060 +13582,1082 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
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-		</layer>
-		<layer id="3302" name="__module.model.gpt_neox.layers.14.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32" />
+				<port id="2" precision="FP32" names="1011">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="911" name="__module.model.gpt_neox.layers.5.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1014">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="912" name="self.model.gpt_neox.layers.5.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="542974040" size="6553600" />
 			<output>
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+				<port id="0" precision="U8">
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+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
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+		<layer id="913" name="Convert_589132" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="U8">
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+					<dim>2560</dim>
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 			</input>
 			<output>
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+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3306" name="Constant_337726" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="914" name="self.model.gpt_neox.layers.5.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="549527640" size="2560" />
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 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="915" name="Convert_589135" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="U8">
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 					<dim>1</dim>
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-				<port id="0" precision="I32">
+				<port id="1" precision="FP16">
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="916" name="self.model.gpt_neox.layers.5.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
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 				</port>
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+					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="917" name="self.model.gpt_neox.layers.5.attention.dense.weight/scale" type="Const" version="opset1">
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 			<output>
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+					<dim>1</dim>
 				</port>
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 		</layer>
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 		</layer>
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+					<dim>2560</dim>
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-					<dim>1</dim>
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-			<data auto_broadcast="numpy" />
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 					<dim>-1</dim>
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 			<output>
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 					<dim>-1</dim>
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+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
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-		<layer id="3365" name="Constant_401977" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="972" name="self.model.gpt_neox.layers.6.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="621758040" size="15360" />
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-				<port id="0" precision="I64" />
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.6.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3366" name="Gather_401978" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="973" name="__module.model.gpt_neox.layers.6.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="974" name="__module.model.gpt_neox.layers.6.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 			<output>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="975" name="Constant_125443" type="Const" version="opset1">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="976" name="__module.model.gpt_neox.layers.6.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
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 				<port id="1" precision="I64">
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 				</port>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1060">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>240</dim>
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 		</layer>
-		<layer id="3371" name="Constant_8384" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="977" name="__module.model.gpt_neox.layers.6.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
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+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="3372" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="978" name="__module.model.gpt_neox.layers.6.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>240</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2421">
+				<port id="2" precision="FP32" names="1061,qkv.13">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3373" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="979" name="__module.model.gpt_neox.layers.6.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1063,q.13">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="4" precision="FP32" names="1064,k.13">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-			<output>
-				<port id="2" precision="FP32" names="present.14.value">
+				<port id="5" precision="FP32" names="1065,value_states.13">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -47327,35 +14665,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3374" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="980" name="Constant_4972" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="2498">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3375" name="Constant_299557" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="981" name="Constant_4975" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3376" name="Constant_299556" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="982" name="Constant_4970" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3377" name="ShapeOf_339193" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="983" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -47363,50 +14697,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3378" name="Constant_339194" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3379" name="Constant_339195" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3380" name="Gather_339196" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="1069,q_rot.13">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3381" name="Add_339197" type="Add" version="opset1">
+		<layer id="984" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" names="2493" />
-			</output>
-		</layer>
-		<layer id="3382" name="ShapeOf_339264" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -47414,82 +14728,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3383" name="Constant_339265" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3384" name="Constant_339266" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3385" name="Gather_339267" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2491" />
-			</output>
-		</layer>
-		<layer id="3386" name="__module.model.gpt_neox.layers.14.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="2495,2496" />
+				<port id="2" precision="FP32" names="1073">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3387" name="Constant_337730" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="985" name="Constant_5154" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3388" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="986" name="Constant_5156" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3389" name="Constant_299555" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="987" name="Constant_5113" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3390" name="ScatterUpdate_299558" type="ScatterUpdate" version="opset3">
+		<layer id="988" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -47497,139 +14782,88 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
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-		</layer>
-		<layer id="3391" name="Constant_299559" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		</layer>
-		<layer id="3392" name="Constant_337732" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="3393" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1083,x2.25">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3394" name="ScatterUpdate_299560" type="ScatterUpdate" version="opset3">
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-				<port id="0" precision="I64">
-					<dim>3</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="989" name="__module.model.gpt_neox.layers.6.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3395" name="Constant_299563" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497588" size="24" />
+		<layer id="990" name="__module.model.gpt_neox.layers.6.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3396" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="991" name="__module.model.gpt_neox.layers.6.attention/aten::neg/Multiply" type="Multiply" version="opset1">
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+					<dim>-1</dim>
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-				<port id="0" precision="I64">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
-		<layer id="3398" name="Constant_299637" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="992" name="Constant_5021" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="3399" name="Constant_299633" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="993" name="Constant_5062" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="3400" name="Constant_299632" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="994" name="Constant_5019" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3401" name="ScatterUpdate_299638" type="ScatterUpdate" version="opset3">
+		<layer id="995" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -47637,182 +14871,128 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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-				<port id="3" precision="I64">
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 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1078,x1.25">
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3404" name="__module.model.gpt_neox.layers.14.attention/aten::where/Convert_1" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="3405" name="__module.model.gpt_neox.layers.14.attention/aten::full/Convert" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="2488" />
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-		</layer>
-		<layer id="3406" name="__module.model.gpt_neox.layers.14.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="996" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1086">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3407" name="Add_315996" type="Add" version="opset1">
+		<layer id="997" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1087">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3408" name="ShapeOf_315997" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="998" name="__module.model.gpt_neox.layers.6.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-				<port id="0" precision="I64" />
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-				<port id="1" precision="I64">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1088,1106,q_embed.13,query.25">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3412" name="Constant_268101" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="999" name="Constant_128136" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1000" name="Constant_128129" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1001" name="Constant_128131" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3414" name="Constant_268105" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1002" name="Constant_128133" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3415" name="__module.model.gpt_neox.layers.14.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1003" name="Concat_128134" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -47829,51 +15009,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="2503">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3416" name="Maximum_315998" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1004" name="Broadcast_128137" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3417" name="__module.model.gpt_neox.layers.14.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1005" name="ReadValue_127529" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.6.keypresent.6.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2505">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.6.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3418" name="__module.model.gpt_neox.layers.14.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="1006" name="Constant_126853" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1007" name="Gather_126854" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -47881,43 +15065,45 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="1008" name="Constant_4990" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="1009" name="Constant_4993" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="4" precision="FP32" names="2506,2507,sdpa_result.29,tensor.57">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3419" name="Constant_8825" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1010" name="Constant_4988" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I64" names="2508">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3420" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1011" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -47926,530 +15112,551 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2509">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1071,k_rot.13">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3421" name="__module.model.gpt_neox.layers.14.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3422" name="__module.model.gpt_neox.layers.14.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1012" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2514">
+				<port id="2" precision="FP32" names="1089">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3423" name="self.model.gpt_neox.layers.14.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1258333828" size="6553600" />
+		<layer id="1013" name="Constant_5363" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3424" name="Convert_449482" type="Convert" version="opset1">
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 			</input>
 			<output>
-				<port id="2" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3448" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1037" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32" names="value.25">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3449" name="__module.model.gpt_neox.layers.14.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="1038" name="__module.model.gpt_neox.layers.6.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="1121,attn_output.37">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3450" name="Constant_325339" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1291170948" size="40960" />
+		<layer id="1039" name="__module.model.gpt_neox.layers.6.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3451" name="__module.model.gpt_neox.layers.14.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1040" name="__module.model.gpt_neox.layers.6.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2532">
+				<port id="2" precision="FP32" names="1122">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3452" name="__module.model.gpt_neox.layers.14.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
-			<data approximation_mode="ERF" />
+		<layer id="1041" name="__module.model.gpt_neox.layers.6.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="2533">
+				<port id="2" precision="FP32" names="1125">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3453" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1291211908" size="26214400" />
+		<layer id="1042" name="self.model.gpt_neox.layers.6.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="621773400" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3454" name="Convert_449504" type="Convert" version="opset1">
+		<layer id="1043" name="Convert_593429" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3455" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1317426308" size="2560" />
+		<layer id="1044" name="self.model.gpt_neox.layers.6.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="628327000" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -48457,7 +15664,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3456" name="Convert_449507" type="Convert" version="opset1">
+		<layer id="1045" name="Convert_593432" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -48472,12 +15679,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3457" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1046" name="self.model.gpt_neox.layers.6.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -48487,12 +15694,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3458" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1317428868" size="5120" />
+		<layer id="1047" name="self.model.gpt_neox.layers.6.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="628329560" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -48500,12 +15707,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3459" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1048" name="self.model.gpt_neox.layers.6.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -48515,36 +15722,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3460" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1049" name="__module.model.gpt_neox.layers.6.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3461" name="__module.model.gpt_neox.layers.14.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1050" name="__module.model.gpt_neox.layers.6.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -48555,17 +15765,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3462" name="Constant_325340" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1317433988" size="10240" />
+		<layer id="1051" name="self.model.gpt_neox.layers.6.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="628334680" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.6.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1052" name="__module.model.gpt_neox.layers.6.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3463" name="__module.model.gpt_neox.layers.14.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1053" name="__module.model.gpt_neox.layers.6.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48574,20 +15798,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2536,input.61">
+				<port id="2" precision="FP32" names="1129,1131,input.63">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3464" name="__module.model.gpt_neox.layers.14/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1054" name="__module.model.gpt_neox.layers.6/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48602,14 +15824,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2538,2540,hidden_states.31">
+				<port id="2" precision="FP32" names="1135,input.65">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3465" name="__module.model.gpt_neox.layers.15.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1055" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -48617,7 +15839,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3466" name="__module.model.gpt_neox.layers.15.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1056" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48637,8 +15859,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3467" name="Constant_325341" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1317444228" size="10240" />
+		<layer id="1057" name="Constant_117168" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="628339800" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48647,7 +15869,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3468" name="__module.model.gpt_neox.layers.15.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1058" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48669,8 +15891,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3469" name="Constant_325342" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1317454468" size="10240" />
+		<layer id="1059" name="Constant_117169" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="628350040" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48679,7 +15901,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3470" name="__module.model.gpt_neox.layers.15.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1060" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48694,124 +15916,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2550">
+				<port id="2" precision="FP32" names="1139">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3471" name="self.model.gpt_neox.layers.15.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1317464708" size="19660800" />
+		<layer id="1061" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="628360280" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3472" name="Convert_449515" type="Convert" version="opset1">
+		<layer id="1062" name="Convert_206699" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3473" name="self.model.gpt_neox.layers.15.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1337125508" size="7680" />
+		<layer id="1063" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="654574680" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3474" name="Convert_449518" type="Convert" version="opset1">
+		<layer id="1064" name="Convert_206702" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
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 			</input>
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+		<layer id="1068" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 				<port id="0" precision="FP16">
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 				<port id="1" precision="FP32">
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 		</layer>
-		<layer id="3479" name="__module.model.gpt_neox.layers.15.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1069" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -48820,7 +16045,7 @@
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 				</port>
 				<port id="1" precision="FP32">
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+					<dim>10240</dim>
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@@ -48828,1053 +16053,626 @@
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 					<dim>-1</dim>
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 			</output>
 		</layer>
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+		<layer id="1070" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="1071" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+		<layer id="1072" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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+		<layer id="1100" name="__module.model.gpt_neox.layers.7.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<port id="0" precision="FP16">
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-					<dim>40</dim>
+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3545" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="1101" name="__module.model.gpt_neox.layers.7.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>40</dim>
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+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="1102" name="self.model.gpt_neox.layers.7.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="700557400" size="15360" />
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-					<dim>80</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.7.attention.query_key_value.bias">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+		<layer id="1103" name="__module.model.gpt_neox.layers.7.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
+					<dim>7680</dim>
 				</port>
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-		</layer>
-		<layer id="3548" name="__module.model.gpt_neox.layers.15.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
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 			<output>
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+				<port id="1" precision="FP32">
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 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1104" name="__module.model.gpt_neox.layers.7.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				</port>
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 			</input>
 			<output>
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+					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="3550" name="Constant_38320" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="1105" name="Constant_125444" type="Const" version="opset1">
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 			<output>
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+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="1106" name="__module.model.gpt_neox.layers.7.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 					<dim>-1</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="I64">
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 			<output>
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 					<dim>-1</dim>
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 		</layer>
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-					<dim>-1</dim>
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+		<layer id="1107" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Constant" type="Const" version="opset1">
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-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32">
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1108" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1172,qkv.15">
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 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3554" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1109" name="__module.model.gpt_neox.layers.7.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>240</dim>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="3" precision="FP32" names="1174,q.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		</layer>
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-		<layer id="3556" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="1175,k.15">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="2567,key.91">
+				<port id="5" precision="FP32" names="1176,value_states.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49882,32 +16680,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3557" name="Constant_299786" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1110" name="Constant_5680" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3558" name="Constant_299789" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1111" name="Constant_5683" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3559" name="Constant_299792" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1112" name="Constant_5678" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1113" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -49916,17 +16713,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2573,k.31">
+				<port id="5" precision="FP32" names="1180,q_rot.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49934,7 +16734,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3561" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="1114" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49951,7 +16751,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2611">
+				<port id="2" precision="FP32" names="1184">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49959,144 +16759,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3562" name="Constant_299796" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
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-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3563" name="Constant_299795" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1115" name="Constant_5862" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
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 				<port id="0" precision="I64">
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-			<output>
-				<port id="0" precision="I32" />
-			</output>
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-				<port id="1" precision="I64" />
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-		<layer id="3568" name="__module.model.gpt_neox.layers.15.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
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-		<layer id="3569" name="Constant_337738" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1116" name="Constant_5864" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-		<layer id="3571" name="Constant_299794" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1117" name="Constant_5821" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
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-		<layer id="3574" name="Constant_299803" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1118" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50105,17 +16792,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				</port>
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1194,x2.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50123,18 +16813,22 @@
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 			</output>
 		</layer>
-		<layer id="3576" name="Constant_325345" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="1119" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="1120" name="__module.model.gpt_neox.layers.7.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3577" name="__module.model.gpt_neox.layers.15.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1121" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50143,15 +16837,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1195">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50159,24 +16848,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3578" name="Constant_299848" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1122" name="Constant_5729" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3579" name="Constant_299853" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1123" name="Constant_5770" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1124" name="Constant_5727" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3580" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1125" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50185,17 +16881,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2616">
+				<port id="5" precision="FP32" names="1189,x1.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50203,7 +16902,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3581" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1126" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50220,7 +16919,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2624">
+				<port id="2" precision="FP32" names="1197">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50228,7 +16927,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3582" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1127" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50245,7 +16944,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2625">
+				<port id="2" precision="FP32" names="1198">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50253,7 +16952,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3583" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1128" name="__module.model.gpt_neox.layers.7.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50270,32 +16969,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2626,2630">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3584" name="__module.model.gpt_neox.layers.15.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.15.key">
+				<port id="2" precision="FP32" names="1199,1217,q_embed.15,query.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50303,13 +16977,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3585" name="Constant_433041" type="Const" version="opset1">
+		<layer id="1129" name="Constant_128160" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3586" name="Constant_433034" type="Const" version="opset1">
+		<layer id="1130" name="Constant_128153" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -50317,7 +16991,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3587" name="Constant_433036" type="Const" version="opset1">
+		<layer id="1131" name="Constant_128155" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -50325,7 +16999,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3588" name="Constant_433038" type="Const" version="opset1">
+		<layer id="1132" name="Constant_128157" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -50333,7 +17007,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3589" name="Concat_433039" type="Concat" version="opset1">
+		<layer id="1133" name="Concat_128158" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -50355,7 +17029,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3590" name="Broadcast_433042" type="Broadcast" version="opset3">
+		<layer id="1134" name="Broadcast_128161" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -50372,8 +17046,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3591" name="ReadValue_417312" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.15.valuepresent.15.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1135" name="ReadValue_127533" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.7.keypresent.7.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50383,7 +17057,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.15.value">
+				<port id="1" precision="FP32" names="past_key_values.7.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50391,13 +17065,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3592" name="Constant_401983" type="Const" version="opset1">
+		<layer id="1136" name="Constant_126859" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3593" name="Gather_401984" type="Gather" version="opset8">
+		<layer id="1137" name="Gather_126860" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50420,80 +17094,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3594" name="Constant_299898" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="1138" name="Constant_5698" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3595" name="Constant_299901" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="1139" name="Constant_5701" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3596" name="Constant_299904" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1140" name="Constant_5696" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3597" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1141" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="2568">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3598" name="Constant_8965" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="2569">
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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 				</port>
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-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1182,k_rot.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50501,8 +17148,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3600" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1142" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50512,13 +17159,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.15.value">
+				<port id="2" precision="FP32" names="1200">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50526,86 +17173,31 @@
 				</port>
 			</output>
 		</layer>
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-					<dim>2048</dim>
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-		</layer>
-		<layer id="3602" name="Constant_299908" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="1143" name="Constant_6071" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3603" name="Constant_299907" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="1144" name="Constant_6073" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
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-					<dim>80</dim>
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-			</input>
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-				<port id="1" precision="I64">
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-			</output>
-		</layer>
-		<layer id="3605" name="Constant_339285" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3606" name="Constant_339286" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1145" name="Constant_6030" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
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-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="I64" />
-			</input>
-			<output>
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-		<layer id="3608" name="Add_339288" type="Add" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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 			</output>
 		</layer>
-		<layer id="3609" name="ShapeOf_339355" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1146" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50613,222 +17205,94 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3611" name="Constant_339357" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3612" name="Gather_339358" type="Gather" version="opset8">
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-				<port id="0" precision="I64">
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-				<port id="1" precision="I64" />
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-			<output>
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-			</output>
-		</layer>
-		<layer id="3613" name="__module.model.gpt_neox.layers.15.attention/aten::sub/Subtract" type="Subtract" version="opset1">
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-				<port id="1" precision="I64" />
-			</input>
-			<output>
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-			</output>
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-		<layer id="3614" name="Constant_337740" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			</output>
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 				<port id="1" precision="I64">
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 				</port>
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 				<port id="2" precision="I64">
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 				</port>
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-				<port id="0" precision="I32">
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-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			</input>
+		<layer id="1147" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
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-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3621" name="ScatterUpdate_299911" type="ScatterUpdate" version="opset3">
+		<layer id="1148" name="__module.model.gpt_neox.layers.7.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
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 			<input>
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+				<port id="0" precision="I32" />
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 			<output>
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-				<port id="0" precision="I64">
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+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1149" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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-				<port id="3" precision="I64">
-					<dim>3</dim>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1211">
 					<dim>-1</dim>
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-				<port id="0" precision="I64">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1150" name="Constant_5938" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1151" name="Constant_5979" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1152" name="Constant_5936" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3628" name="ScatterUpdate_299989" type="ScatterUpdate" version="opset3">
+		<layer id="1153" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -50836,182 +17300,153 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3629" name="Constant_299992" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1205,x1.31">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1154" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
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-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1213">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32" />
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-		<layer id="3632" name="__module.model.gpt_neox.layers.15.attention/aten::full/Convert" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="2637" />
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-		</layer>
-		<layer id="3633" name="__module.model.gpt_neox.layers.15.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="1155" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1214">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3634" name="Add_316068" type="Add" version="opset1">
+		<layer id="1156" name="__module.model.gpt_neox.layers.7.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1215,1219,k_embed.15,key_states.17">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3635" name="ShapeOf_316069" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1157" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3636" name="Constant_339361" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.29">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3637" name="Constant_339362" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3638" name="Gather_339363" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="1158" name="Constant_128148" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="2635">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3639" name="Constant_268111" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1159" name="Constant_128141" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3640" name="Constant_268113" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1160" name="Constant_128143" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3641" name="Constant_268115" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1161" name="Constant_128145" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3642" name="__module.model.gpt_neox.layers.15.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1162" name="Concat_128146" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -51028,50 +17463,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="2652">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3643" name="Maximum_316070" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1163" name="Broadcast_128149" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3644" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1164" name="ReadValue_127535" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.7.valuepresent.7.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.7.value">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="1165" name="Constant_126862" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1166" name="Gather_126863" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1167" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2654">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.29">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3645" name="__module.model.gpt_neox.layers.15.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1168" name="__module.model.gpt_neox.layers.7.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51098,9 +17585,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2655,2656,sdpa_result.31,tensor.61">
+				<port id="5" precision="FP32" names="1232,attn_output.43">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -51108,15 +17596,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3646" name="Constant_9406" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1169" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64" names="2657">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3647" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1170" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -51124,12 +17612,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2658">
+				<port id="2" precision="FP32" names="1233">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -51137,16 +17625,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3648" name="__module.model.gpt_neox.layers.15.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3649" name="__module.model.gpt_neox.layers.15.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1171" name="__module.model.gpt_neox.layers.7.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -51159,15 +17639,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2663">
+				<port id="2" precision="FP32" names="1236">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3650" name="self.model.gpt_neox.layers.15.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1337179268" size="6553600" />
+		<layer id="1172" name="self.model.gpt_neox.layers.7.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="700572760" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -51175,7 +17655,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3651" name="Convert_449526" type="Convert" version="opset1">
+		<layer id="1173" name="Convert_597726" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51190,8 +17670,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3652" name="self.model.gpt_neox.layers.15.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1343732868" size="2560" />
+		<layer id="1174" name="self.model.gpt_neox.layers.7.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="707126360" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -51199,7 +17679,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3653" name="Convert_449529" type="Convert" version="opset1">
+		<layer id="1175" name="Convert_597729" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51214,7 +17694,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3654" name="self.model.gpt_neox.layers.15.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1176" name="self.model.gpt_neox.layers.7.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51233,8 +17713,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3655" name="self.model.gpt_neox.layers.15.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1343735428" size="5120" />
+		<layer id="1177" name="self.model.gpt_neox.layers.7.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="707128920" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -51242,7 +17722,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3656" name="self.model.gpt_neox.layers.15.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1178" name="self.model.gpt_neox.layers.7.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51261,8 +17741,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3657" name="self.model.gpt_neox.layers.15.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1179" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -51276,13 +17759,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3658" name="__module.model.gpt_neox.layers.15.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1180" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -51297,17 +17780,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3659" name="Constant_325346" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1343740548" size="10240" />
+		<layer id="1181" name="self.model.gpt_neox.layers.7.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="707134040" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.7.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1182" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3660" name="__module.model.gpt_neox.layers.15.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1183" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51316,20 +17813,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2666,2668,input.63">
+				<port id="2" precision="FP32" names="1240,1242,input.73">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3661" name="__module.model.gpt_neox.layers.15/aten::add/Add" type="Add" version="opset1">
+		<layer id="1184" name="__module.model.gpt_neox.layers.7/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51344,14 +17839,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2672,attn_output.63">
+				<port id="2" precision="FP32" names="1246,input.75">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3662" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1185" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -51359,7 +17854,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3663" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1186" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51379,8 +17874,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3664" name="Constant_325347" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1343750788" size="10240" />
+		<layer id="1187" name="Constant_117172" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="707139160" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51389,7 +17884,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3665" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1188" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51411,8 +17906,8 @@
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 			</output>
 		</layer>
-		<layer id="3666" name="Constant_325348" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1343761028" size="10240" />
+		<layer id="1189" name="Constant_117173" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="707149400" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51421,7 +17916,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3667" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1190" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51436,15 +17931,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2676">
+				<port id="2" precision="FP32" names="1250">
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 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3668" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="1343771268" size="26214400" />
+		<layer id="1191" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="707159640" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -51452,7 +17947,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3669" name="Convert_449537" type="Convert" version="opset1">
+		<layer id="1192" name="Convert_215293" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51467,8 +17962,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3670" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="1369985668" size="10240" />
+		<layer id="1193" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="733374040" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -51476,7 +17971,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3671" name="Convert_449540" type="Convert" version="opset1">
+		<layer id="1194" name="Convert_215296" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51491,7 +17986,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3672" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1195" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51510,8 +18005,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3673" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="1369995908" size="20480" />
+		<layer id="1196" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="733384280" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -51519,7 +18014,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3674" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1197" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51538,8 +18033,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3675" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1198" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -51553,7 +18051,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3676" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1199" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51574,17 +18072,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3677" name="Constant_325349" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1370016388" size="40960" />
+		<layer id="1200" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="733404760" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1201" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3678" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1202" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51593,20 +18105,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2681">
+				<port id="2" precision="FP32" names="1255,input.77">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3679" name="__module.model.gpt_neox.layers.15.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1203" name="__module.model.gpt_neox.layers.7.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51616,15 +18126,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="2682">
+				<port id="1" precision="FP32" names="1256">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3680" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1370057348" size="26214400" />
+		<layer id="1204" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="733425240" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -51632,7 +18142,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3681" name="Convert_449548" type="Convert" version="opset1">
+		<layer id="1205" name="Convert_219590" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51647,8 +18157,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3682" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1396271748" size="2560" />
+		<layer id="1206" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="759639640" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -51656,7 +18166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3683" name="Convert_449551" type="Convert" version="opset1">
+		<layer id="1207" name="Convert_219593" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51671,7 +18181,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3684" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1208" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51690,8 +18200,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3685" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1396274308" size="5120" />
+		<layer id="1209" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="759642200" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -51699,7 +18209,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3686" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1210" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51718,8 +18228,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3687" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1211" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -51733,7 +18246,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3688" name="__module.model.gpt_neox.layers.15.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1212" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51754,17 +18267,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3689" name="Constant_325350" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1396279428" size="10240" />
+		<layer id="1213" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="759647320" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1214" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3690" name="__module.model.gpt_neox.layers.15.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1215" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51773,20 +18300,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2685,input.65">
+				<port id="2" precision="FP32" names="1259,input.79">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3691" name="__module.model.gpt_neox.layers.15/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1216" name="__module.model.gpt_neox.layers.7/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51801,14 +18326,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2687,2689,hidden_states.33">
+				<port id="2" precision="FP32" names="1261,1263,input.81">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3692" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1217" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -51816,7 +18341,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3693" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1218" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51836,8 +18361,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3694" name="Constant_325351" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1396289668" size="10240" />
+		<layer id="1219" name="Constant_117174" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="759652440" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51846,7 +18371,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3695" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1220" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51868,8 +18393,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3696" name="Constant_325352" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1396299908" size="10240" />
+		<layer id="1221" name="Constant_117175" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="759662680" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51878,7 +18403,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3697" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1222" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51893,15 +18418,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2699">
+				<port id="2" precision="FP32" names="1273,hidden_states.17">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3698" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1396310148" size="19660800" />
+		<layer id="1223" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="759672920" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -51909,7 +18434,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3699" name="Convert_449559" type="Convert" version="opset1">
+		<layer id="1224" name="Convert_464519" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51924,8 +18449,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3700" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1415970948" size="7680" />
+		<layer id="1225" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="779333720" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -51933,7 +18458,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3701" name="Convert_449562" type="Convert" version="opset1">
+		<layer id="1226" name="Convert_464522" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51948,7 +18473,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3702" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1227" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51967,8 +18492,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3703" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1415978628" size="15360" />
+		<layer id="1228" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="779341400" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -51976,7 +18501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3704" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1229" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51995,8 +18520,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3705" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1230" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -52010,7 +18538,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3706" name="__module.model.gpt_neox.layers.16.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1231" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52026,146 +18554,633 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3707" name="Constant_325353" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1232" name="self.model.gpt_neox.layers.8.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="779356760" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.8.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1233" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1234" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+			<output>
+				<port id="2" precision="FP32" names="1280">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1235" name="Constant_125445" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
+			<output>
+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="1236" name="__module.model.gpt_neox.layers.8.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
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+				<port id="1" precision="I64">
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+				<port id="2" precision="FP32" names="1282">
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+					<dim>-1</dim>
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+					<dim>240</dim>
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+			</output>
+		</layer>
+		<layer id="1237" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Constant" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
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+			</output>
+		</layer>
+		<layer id="1238" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
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+				<port id="1" precision="I32">
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+			</output>
+		</layer>
+		<layer id="1239" name="__module.model.gpt_neox.layers.8.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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+				<port id="0" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="1240" name="Constant_6388" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+		<layer id="1241" name="Constant_6391" type="Const" version="opset1">
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+		<layer id="1242" name="Constant_6386" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+			</output>
+		</layer>
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+				<port id="0" precision="FP32">
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+				<port id="4" precision="I64">
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+				<port id="0" precision="I64">
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+		</layer>
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+		<layer id="1250" name="__module.model.gpt_neox.layers.8.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
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+			<data auto_broadcast="numpy" />
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+			<output>
+				<port id="0" precision="FP32" />
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+				<port id="0" precision="I64">
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+			</output>
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+		<layer id="1261" name="Constant_128179" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+			</output>
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+		<layer id="1262" name="Constant_128181" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+			</output>
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+			</output>
+		</layer>
+		<layer id="1264" name="Broadcast_128185" type="Broadcast" version="opset3">
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 		</layer>
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+		<layer id="1265" name="ReadValue_127537" type="ReadValue" version="opset6">
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+		<layer id="1266" name="Constant_126865" type="Const" version="opset1">
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+				<port id="0" precision="I64" />
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 		</layer>
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+		<layer id="1267" name="Gather_126866" type="Gather" version="opset8">
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 				<port id="0" precision="FP32">
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+				<port id="1" precision="I32">
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 		</layer>
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+		<layer id="1268" name="Constant_6406" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="1269" name="Constant_6409" type="Const" version="opset1">
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 		</layer>
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+		<layer id="1270" name="Constant_6404" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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+		<layer id="1271" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_4" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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+					<dim>1</dim>
 				</port>
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1293,k_rot.17">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-		</layer>
-		<layer id="3716" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1272" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1311">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52173,32 +19188,31 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1273" name="Constant_6779" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3718" name="Constant_300014" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1274" name="Constant_6781" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3719" name="Constant_300017" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1275" name="Constant_6738" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1276" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52207,147 +19221,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1321,x2.35">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+		<layer id="1277" name="__module.model.gpt_neox.layers.8.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.16.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3722" name="__module.model.gpt_neox.layers.16.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1278" name="__module.model.gpt_neox.layers.8.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1279" name="__module.model.gpt_neox.layers.8.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1322">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1280" name="Constant_6646" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3724" name="Constant_300026" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="1281" name="Constant_6687" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3725" name="Constant_300029" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1282" name="Constant_6644" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1283" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1316,x1.35">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="1284" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1324">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="I64">
+		<layer id="1285" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			<output>
+				<port id="2" precision="FP32" names="1325">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3729" name="Constant_339367" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1286" name="__module.model.gpt_neox.layers.8.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="1326,1330,k_embed.17,key_states.19">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="1287" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_4" type="Concat" version="opset1">
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 			<input>
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+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.33">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3731" name="Constant_433054" type="Const" version="opset1">
+		<layer id="1288" name="Constant_128172" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3732" name="Constant_433047" type="Const" version="opset1">
+		<layer id="1289" name="Constant_128165" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
@@ -52355,7 +19445,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3733" name="Constant_433049" type="Const" version="opset1">
+		<layer id="1290" name="Constant_128167" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
@@ -52363,7 +19453,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3734" name="Constant_433051" type="Const" version="opset1">
+		<layer id="1291" name="Constant_128169" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -52371,7 +19461,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3735" name="Concat_433052" type="Concat" version="opset1">
+		<layer id="1292" name="Concat_128170" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -52393,7 +19483,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3736" name="Broadcast_433055" type="Broadcast" version="opset3">
+		<layer id="1293" name="Broadcast_128173" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -52410,8 +19500,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3737" name="ReadValue_417314" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.16.keypresent.16.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1294" name="ReadValue_127539" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.8.valuepresent.8.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52421,7 +19511,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.16.key">
+				<port id="1" precision="FP32" names="past_key_values.8.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52429,13 +19519,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3738" name="Constant_401986" type="Const" version="opset1">
+		<layer id="1295" name="Constant_126868" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3739" name="Gather_401987" type="Gather" version="opset8">
+		<layer id="1296" name="Gather_126869" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52458,8 +19548,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3740" name="ShapeOf_339370" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1297" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52467,1009 +19557,1152 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="value.33">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3741" name="Constant_339371" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="1298" name="__module.model.gpt_neox.layers.8.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="2" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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+				<port id="4" precision="FP32" />
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 			<output>
-				<port id="0" precision="I64" />
+				<port id="5" precision="FP32" names="1343,attn_output.49">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="3742" name="Constant_339372" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1299" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3743" name="Gather_339373" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1300" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
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 				</port>
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-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2726" />
+				<port id="2" precision="FP32" names="1344">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="1301" name="__module.model.gpt_neox.layers.8.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1347">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="3744" name="Constant_337744" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1302" name="self.model.gpt_neox.layers.8.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="779372120" size="6553600" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="U8">
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+					<dim>2560</dim>
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+			</output>
+		</layer>
+		<layer id="1303" name="Convert_602023" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
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+					<dim>2560</dim>
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+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1304" name="self.model.gpt_neox.layers.8.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="785925720" size="2560" />
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+				<port id="0" precision="U8">
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3745" name="Reshape_340937" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="1305" name="Convert_602026" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="1306" name="self.model.gpt_neox.layers.8.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>1</dim>
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 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP16">
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="1307" name="self.model.gpt_neox.layers.8.attention.dense.weight/scale" type="Const" version="opset1">
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 			<output>
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 					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1308" name="self.model.gpt_neox.layers.8.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
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-				<port id="2" precision="I64">
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 			</input>
 			<output>
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 		</layer>
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+					<dim>2560</dim>
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+					<dim>2560</dim>
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 			</output>
 		</layer>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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+		<layer id="1312" name="__module.model.gpt_neox.layers.8.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
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 			</output>
 		</layer>
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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 			<output>
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 		</layer>
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 				<port id="1" precision="FP32">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1361" name="__module.model.gpt_neox.layers.9.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
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-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="3803" name="Constant_325355" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="1362" name="self.model.gpt_neox.layers.9.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="858156120" size="15360" />
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.9.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1363" name="__module.model.gpt_neox.layers.9.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3804" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1364" name="__module.model.gpt_neox.layers.9.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>7680</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2771">
+				<port id="2" precision="FP32" names="1391">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-		<layer id="3805" name="Constant_300199" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="3806" name="Constant_300204" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1365" name="Constant_125446" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1366" name="__module.model.gpt_neox.layers.9.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
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-				<port id="3" precision="I64">
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 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2765">
+				<port id="2" precision="FP32" names="1393">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3808" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_2" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="1367" name="__module.model.gpt_neox.layers.9.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1368" name="__module.model.gpt_neox.layers.9.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
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-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2773">
+				<port id="2" precision="FP32" names="1394,qkv.19">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3809" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1369" name="__module.model.gpt_neox.layers.9.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>240</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2774">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3810" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="3" precision="FP32" names="1396,q.19">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="4" precision="FP32" names="1397,k.19">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="2775,2779">
+				<port id="5" precision="FP32" names="1398,value_states.19">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -53477,7 +20710,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3811" name="__module.model.gpt_neox.layers.16.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="1370" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53494,7 +20727,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.16.key">
+				<port id="2" precision="FP32" names="value.37">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -53502,13 +20735,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3812" name="Constant_433067" type="Const" version="opset1">
+		<layer id="1372" name="Constant_128196" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3813" name="Constant_433060" type="Const" version="opset1">
+		<layer id="1373" name="Constant_128189" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -53516,7 +20749,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3814" name="Constant_433062" type="Const" version="opset1">
+		<layer id="1374" name="Constant_128191" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -53524,7 +20757,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3815" name="Constant_433064" type="Const" version="opset1">
+		<layer id="1375" name="Constant_128193" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -53532,7 +20765,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3816" name="Concat_433065" type="Concat" version="opset1">
+		<layer id="1376" name="Concat_128194" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -53554,7 +20787,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3817" name="Broadcast_433068" type="Broadcast" version="opset3">
+		<layer id="1377" name="Broadcast_128197" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -53571,8 +20804,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3818" name="ReadValue_417316" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.16.valuepresent.16.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1378" name="ReadValue_127541" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.9.keypresent.9.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -53582,7 +20815,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.16.value">
+				<port id="1" precision="FP32" names="past_key_values.9.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -53590,13 +20823,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3819" name="Constant_401989" type="Const" version="opset1">
+		<layer id="1379" name="Constant_126871" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3820" name="Gather_401990" type="Gather" version="opset8">
+		<layer id="1380" name="Gather_126872" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53619,80 +20852,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3821" name="Constant_300249" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="1381" name="Constant_7114" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3822" name="Constant_300252" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="1382" name="Constant_7117" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3823" name="Constant_300255" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1383" name="Constant_7112" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3824" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1384" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="2717">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3825" name="Constant_9546" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="2718">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3826" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2719">
+				<port id="5" precision="FP32" names="1404,k_rot.19">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -53700,8 +20906,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3827" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1385" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -53711,13 +20917,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.16.value">
+				<port id="2" precision="FP32" names="1422">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -53725,86 +20931,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3828" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
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-				<port id="0" precision="BOOL" names="2796">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3829" name="Constant_300259" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="1386" name="Constant_7487" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3830" name="Constant_300258" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="1387" name="Constant_7489" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3831" name="ShapeOf_339375" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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@@ -54225,53 +21061,46 @@
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-			<data causal="false" />
+		<layer id="1398" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -54280,26 +21109,14 @@
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 				<port id="1" precision="FP32">
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 					<dim>-1</dim>
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 					<dim>32</dim>
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@@ -54307,15 +21124,8 @@
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 		</layer>
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-		<layer id="3874" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1399" name="__module.model.gpt_neox.layers.9.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -54323,531 +21133,575 @@
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 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
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 					<dim>32</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="1400" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
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 					<dim>32</dim>
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+				<port id="2" precision="FP32" names="key.37">
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 		</layer>
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 		</layer>
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 		</layer>
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 		</layer>
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 		</layer>
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 		</layer>
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+		<layer id="1418" name="ReadValue_127519" type="ReadValue" version="opset6">
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+		<layer id="1419" name="Constant_127006" type="Const" version="opset1">
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+				<port id="0" precision="I64" />
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+		<layer id="1420" name="Gather_127007" type="Gather" version="opset8">
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 				<port id="0" precision="FP32">
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 				<port id="0" precision="FP32">
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 		</layer>
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-			<data element_type="u8" shape="10240, 2560" offset="1422616708" size="26214400" />
+		<layer id="1433" name="Constant_7145" type="Const" version="opset1">
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 			<output>
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="U8">
-					<dim>10240</dim>
-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="1434" name="Constant_7186" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="10240, 1" offset="1448831108" size="10240" />
+		<layer id="1435" name="Constant_7143" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>10240</dim>
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3898" name="Convert_449584" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="1436" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="U8">
-					<dim>10240</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="1" precision="FP16">
-					<dim>10240</dim>
+				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="3899" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="3" precision="I64">
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 				</port>
-				<port id="1" precision="FP16">
-					<dim>10240</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="5" precision="FP32" names="1411,x1.37">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3900" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="1448841348" size="20480" />
+		<layer id="1437" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1419">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3901" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1438" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP16">
-					<dim>10240</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32" names="1420">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3902" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1439" name="__module.model.gpt_neox.layers.9.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32" names="1421,1439,q_embed.19,query.37">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3903" name="__module.model.gpt_neox.layers.16.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="1440" name="__module.model.gpt_neox.layers.9.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="1454,attn_output.55">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3904" name="Constant_325359" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1448861828" size="40960" />
+		<layer id="1441" name="__module.model.gpt_neox.layers.9.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3905" name="__module.model.gpt_neox.layers.16.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1442" name="__module.model.gpt_neox.layers.9.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2830">
+				<port id="2" precision="FP32" names="1455">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3906" name="__module.model.gpt_neox.layers.16.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
-			<data approximation_mode="ERF" />
+		<layer id="1443" name="__module.model.gpt_neox.layers.9.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="2831">
+				<port id="2" precision="FP32" names="1458">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3907" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1448902788" size="26214400" />
+		<layer id="1444" name="self.model.gpt_neox.layers.9.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="858171480" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3908" name="Convert_449592" type="Convert" version="opset1">
+		<layer id="1445" name="Convert_606320" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3909" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1475117188" size="2560" />
+		<layer id="1446" name="self.model.gpt_neox.layers.9.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="864725080" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -54855,7 +21709,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3910" name="Convert_449595" type="Convert" version="opset1">
+		<layer id="1447" name="Convert_606323" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -54870,12 +21724,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3911" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1448" name="self.model.gpt_neox.layers.9.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -54885,12 +21739,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3912" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1475119748" size="5120" />
+		<layer id="1449" name="self.model.gpt_neox.layers.9.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="864727640" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -54898,12 +21752,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3913" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1450" name="self.model.gpt_neox.layers.9.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -54913,36 +21767,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3914" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1451" name="__module.model.gpt_neox.layers.9.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3915" name="__module.model.gpt_neox.layers.16.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1452" name="__module.model.gpt_neox.layers.9.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -54953,17 +21810,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3916" name="Constant_325360" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1475124868" size="10240" />
+		<layer id="1453" name="self.model.gpt_neox.layers.9.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="864732760" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.9.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1454" name="__module.model.gpt_neox.layers.9.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3917" name="__module.model.gpt_neox.layers.16.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1455" name="__module.model.gpt_neox.layers.9.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54972,20 +21843,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2834,input.69">
+				<port id="2" precision="FP32" names="1462,1464,input.93">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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@@ -55000,14 +21869,14 @@
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@@ -55015,7 +21884,7 @@
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 			</output>
 		</layer>
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@@ -55035,8 +21904,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 2560" offset="1475135108" size="10240" />
+		<layer id="1459" name="Constant_117180" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -55045,7 +21914,7 @@
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 			</output>
 		</layer>
-		<layer id="3922" name="__module.model.gpt_neox.layers.17.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -55067,8 +21936,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 2560" offset="1475145348" size="10240" />
+		<layer id="1461" name="Constant_117181" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -55077,7 +21946,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1462" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -55092,124 +21961,127 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
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-			<data element_type="u8" shape="7680, 2560" offset="1475155588" size="19660800" />
+		<layer id="1463" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="U8">
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 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="3926" name="Convert_449603" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
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 					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="7680, 1" offset="1494816388" size="7680" />
+		<layer id="1465" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="U8">
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3928" name="Convert_449606" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
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 					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
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 			</output>
 		</layer>
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+		<layer id="1467" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
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 				<port id="1" precision="FP16">
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 					<dim>1</dim>
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 			<output>
 				<port id="2" precision="FP16">
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 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="7680, 1" offset="1494824068" size="15360" />
+		<layer id="1468" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="890983000" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
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 					<dim>1</dim>
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
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+					<dim>10240</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
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 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="3932" name="self.model.gpt_neox.layers.17.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
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 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="3933" name="__module.model.gpt_neox.layers.17.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1471" name="__module.model.gpt_neox.layers.9.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55218,7 +22090,7 @@
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 				</port>
 				<port id="1" precision="FP32">
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+					<dim>10240</dim>
 					<dim>2560</dim>
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@@ -55226,1053 +22098,626 @@
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 					<dim>-1</dim>
 					<dim>-1</dim>
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-					<dim>-1</dim>
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-			<data element_type="i64" shape="4" offset="148992288" size="32" />
+		<layer id="1472" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
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 			<output>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="1473" name="__module.model.gpt_neox.layers.9.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
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-				<port id="1" precision="I64">
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-				<port id="0" precision="I64">
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+		<layer id="1474" name="__module.model.gpt_neox.layers.9.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>-1</dim>
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 			<output>
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 					<dim>-1</dim>
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+		<layer id="1511" name="__module.model.gpt_neox.layers.10.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2908,2926,2936,query.105,query.107">
+				<port id="3" precision="FP32" names="1507,q.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4009" name="Constant_10113" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="2864">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4010" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="1508,k.21">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="2865,key.103">
+				<port id="5" precision="FP32" names="1509,value_states.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56280,32 +22725,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4011" name="Constant_300488" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1512" name="Constant_7804" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4012" name="Constant_300491" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1513" name="Constant_7807" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4013" name="Constant_300494" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1514" name="Constant_7802" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4014" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1515" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56314,17 +22758,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2871,k.35">
+				<port id="5" precision="FP32" names="1513,q_rot.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56332,7 +22779,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4015" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="1516" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56349,7 +22796,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2909">
+				<port id="2" precision="FP32" names="1517">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56357,144 +22804,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4016" name="Constant_300498" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4017" name="Constant_300497" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1517" name="Constant_7986" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4018" name="__module.model.gpt_neox.layers.17.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4019" name="__module.model.gpt_neox.layers.17.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4020" name="__module.model.gpt_neox.layers.17.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2910,2915" />
-			</output>
-		</layer>
-		<layer id="4021" name="__module.model.gpt_neox.layers.17.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4022" name="__module.model.gpt_neox.layers.17.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="2912,2913,2917,2918" />
-			</output>
-		</layer>
-		<layer id="4023" name="Constant_337758" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1518" name="Constant_7988" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4024" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4025" name="Constant_300496" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1519" name="Constant_7945" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4026" name="ScatterUpdate_300499" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4027" name="Constant_300502" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4028" name="Constant_300505" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="4029" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1520" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56503,17 +22837,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2919,x2.71">
+				<port id="5" precision="FP32" names="1527,x2.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56521,18 +22858,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4030" name="Constant_325365" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="1521" name="__module.model.gpt_neox.layers.10.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="1522" name="__module.model.gpt_neox.layers.10.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4031" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1523" name="__module.model.gpt_neox.layers.10.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56541,15 +22882,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2920">
+				<port id="2" precision="FP32" names="1528">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56557,24 +22893,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4032" name="Constant_300550" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1524" name="Constant_7853" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4033" name="Constant_300555" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1525" name="Constant_7894" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1526" name="Constant_7851" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4034" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1527" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56583,17 +22926,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2914">
+				<port id="5" precision="FP32" names="1522,x1.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56601,7 +22947,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4035" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1528" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56618,7 +22964,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2922">
+				<port id="2" precision="FP32" names="1530">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56626,7 +22972,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4036" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1529" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56643,7 +22989,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2923">
+				<port id="2" precision="FP32" names="1531">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56651,7 +22997,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4037" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1530" name="__module.model.gpt_neox.layers.10.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56668,32 +23014,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2924,2928">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4038" name="__module.model.gpt_neox.layers.17.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.17.key">
+				<port id="2" precision="FP32" names="1532,1550,q_embed.21,query.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56701,13 +23022,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4039" name="Constant_433093" type="Const" version="opset1">
+		<layer id="1531" name="Constant_128232" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4040" name="Constant_433086" type="Const" version="opset1">
+		<layer id="1532" name="Constant_128225" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -56715,7 +23036,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4041" name="Constant_433088" type="Const" version="opset1">
+		<layer id="1533" name="Constant_128227" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
@@ -56723,7 +23044,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4042" name="Constant_433090" type="Const" version="opset1">
+		<layer id="1534" name="Constant_128229" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -56731,7 +23052,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4043" name="Concat_433091" type="Concat" version="opset1">
+		<layer id="1535" name="Concat_128230" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -56753,7 +23074,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4044" name="Broadcast_433094" type="Broadcast" version="opset3">
+		<layer id="1536" name="Broadcast_128233" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -56770,8 +23091,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4045" name="ReadValue_417320" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.17.valuepresent.17.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1537" name="ReadValue_127425" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.10.keypresent.10.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56781,7 +23102,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.17.value">
+				<port id="1" precision="FP32" names="past_key_values.10.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56789,13 +23110,13 @@
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 			</output>
 		</layer>
-		<layer id="4046" name="Constant_401995" type="Const" version="opset1">
+		<layer id="1538" name="Constant_126877" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4047" name="Gather_401996" type="Gather" version="opset8">
+		<layer id="1539" name="Gather_126878" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56818,80 +23139,53 @@
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 			</output>
 		</layer>
-		<layer id="4048" name="Constant_300600" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="1540" name="Constant_7822" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="4049" name="Constant_300603" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="1541" name="Constant_7825" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4050" name="Constant_300606" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1542" name="Constant_7820" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1543" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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-			</input>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="4052" name="Constant_10127" type="Const" version="opset1">
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-				<port id="0" precision="I64" names="2867">
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-			</output>
-		</layer>
-		<layer id="4053" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2868">
+				<port id="5" precision="FP32" names="1515,k_rot.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56899,8 +23193,8 @@
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 			</output>
 		</layer>
-		<layer id="4054" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1544" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56910,13 +23204,13 @@
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.17.value">
+				<port id="2" precision="FP32" names="1533">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56924,86 +23218,31 @@
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 			</output>
 		</layer>
-		<layer id="4055" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_11" type="Const" version="opset1">
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-		<layer id="4056" name="Constant_300610" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="1545" name="Constant_8195" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4057" name="Constant_300609" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="1546" name="Constant_8197" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
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-		</layer>
-		<layer id="4059" name="Constant_339467" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="4060" name="Constant_339468" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1547" name="Constant_8154" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
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-		</layer>
-		<layer id="4061" name="Gather_339469" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="I64" />
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-			<output>
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-		</layer>
-		<layer id="4062" name="Add_339470" type="Add" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
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 			</output>
 		</layer>
-		<layer id="4063" name="ShapeOf_339537" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1548" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -57011,222 +23250,94 @@
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 					<dim>80</dim>
 				</port>
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-				<port id="1" precision="I64">
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-				<port id="0" precision="I64" />
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-		<layer id="4065" name="Constant_339539" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		<layer id="4066" name="Gather_339540" type="Gather" version="opset8">
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 				<port id="1" precision="I64">
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="0" precision="I64">
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-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1553" name="Constant_8103" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4081" name="Constant_300685" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1554" name="Constant_8060" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4082" name="ScatterUpdate_300691" type="ScatterUpdate" version="opset3">
+		<layer id="1555" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -57234,182 +23345,153 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4083" name="Constant_300694" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1538,x1.43">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4084" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1556" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="2947,2948">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1546">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4085" name="__module.model.gpt_neox.layers.17.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4086" name="__module.model.gpt_neox.layers.17.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="154497612" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="2935" />
-			</output>
-		</layer>
-		<layer id="4087" name="__module.model.gpt_neox.layers.17.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="1557" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2949,causal_mask.69">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1547">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4088" name="Add_316212" type="Add" version="opset1">
+		<layer id="1558" name="__module.model.gpt_neox.layers.10.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1548,1552,k_embed.21,key_states.23">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4089" name="ShapeOf_316213" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1559" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4090" name="Constant_339543" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.41">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4091" name="Constant_339544" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4092" name="Gather_339545" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="1560" name="Constant_128220" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="2933">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4093" name="Constant_268131" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1561" name="Constant_128213" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4094" name="Constant_268133" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1562" name="Constant_128215" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4095" name="Constant_268135" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1563" name="Constant_128217" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4096" name="__module.model.gpt_neox.layers.17.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1564" name="Concat_128218" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -57426,50 +23508,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="2950">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4097" name="Maximum_316214" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1565" name="Broadcast_128221" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4098" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1566" name="ReadValue_127427" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.10.valuepresent.10.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.10.value">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="1567" name="Constant_126880" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1568" name="Gather_126881" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1569" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2952">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.41">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4099" name="__module.model.gpt_neox.layers.17.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1570" name="__module.model.gpt_neox.layers.10.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57496,9 +23630,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2953,2954,sdpa_result.35,tensor.69">
+				<port id="5" precision="FP32" names="1565,attn_output.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -57506,15 +23641,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4100" name="Constant_10568" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1571" name="__module.model.gpt_neox.layers.10.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64" names="2955">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4101" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1572" name="__module.model.gpt_neox.layers.10.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -57522,12 +23657,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2956">
+				<port id="2" precision="FP32" names="1566">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -57535,16 +23670,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4102" name="__module.model.gpt_neox.layers.17.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4103" name="__module.model.gpt_neox.layers.17.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1573" name="__module.model.gpt_neox.layers.10.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -57557,15 +23684,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2961">
+				<port id="2" precision="FP32" names="1569">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4104" name="self.model.gpt_neox.layers.17.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1494870148" size="6553600" />
+		<layer id="1574" name="self.model.gpt_neox.layers.10.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="936970840" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -57573,7 +23700,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4105" name="Convert_449614" type="Convert" version="opset1">
+		<layer id="1575" name="Convert_610617" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -57588,8 +23715,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4106" name="self.model.gpt_neox.layers.17.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1501423748" size="2560" />
+		<layer id="1576" name="self.model.gpt_neox.layers.10.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="943524440" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -57597,7 +23724,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4107" name="Convert_449617" type="Convert" version="opset1">
+		<layer id="1577" name="Convert_610620" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -57612,7 +23739,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4108" name="self.model.gpt_neox.layers.17.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1578" name="self.model.gpt_neox.layers.10.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57631,8 +23758,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4109" name="self.model.gpt_neox.layers.17.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1501426308" size="5120" />
+		<layer id="1579" name="self.model.gpt_neox.layers.10.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="943527000" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -57640,7 +23767,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4110" name="self.model.gpt_neox.layers.17.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1580" name="self.model.gpt_neox.layers.10.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57659,8 +23786,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4111" name="self.model.gpt_neox.layers.17.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1581" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -57674,13 +23804,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4112" name="__module.model.gpt_neox.layers.17.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1582" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -57695,17 +23825,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4113" name="Constant_325366" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1501431428" size="10240" />
+		<layer id="1583" name="self.model.gpt_neox.layers.10.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="943532120" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.10.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1584" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4114" name="__module.model.gpt_neox.layers.17.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1585" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57714,20 +23858,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2964,2966,input.71">
+				<port id="2" precision="FP32" names="1573,1575,input.103">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4115" name="__module.model.gpt_neox.layers.17/aten::add/Add" type="Add" version="opset1">
+		<layer id="1586" name="__module.model.gpt_neox.layers.10/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57742,14 +23884,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2970,attn_output.71">
+				<port id="2" precision="FP32" names="1579,input.105">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4116" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1587" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -57757,7 +23899,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4117" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1588" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57777,8 +23919,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4118" name="Constant_325367" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1501441668" size="10240" />
+		<layer id="1589" name="Constant_117184" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="943537240" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -57787,7 +23929,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4119" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1590" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57809,8 +23951,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4120" name="Constant_325368" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1501451908" size="10240" />
+		<layer id="1591" name="Constant_117185" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="943547480" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -57819,7 +23961,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4121" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1592" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57834,15 +23976,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2974">
+				<port id="2" precision="FP32" names="1583">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4122" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="1501462148" size="26214400" />
+		<layer id="1593" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="943557720" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -57850,7 +23992,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4123" name="Convert_449625" type="Convert" version="opset1">
+		<layer id="1594" name="Convert_241075" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -57865,8 +24007,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4124" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="1527676548" size="10240" />
+		<layer id="1595" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="969772120" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -57874,7 +24016,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4125" name="Convert_449628" type="Convert" version="opset1">
+		<layer id="1596" name="Convert_241078" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -57889,7 +24031,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4126" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1597" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57908,8 +24050,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4127" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="1527686788" size="20480" />
+		<layer id="1598" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="969782360" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -57917,7 +24059,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4128" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1599" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -57936,8 +24078,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4129" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1600" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -57951,7 +24096,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4130" name="__module.model.gpt_neox.layers.17.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1601" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57972,17 +24117,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4131" name="Constant_325369" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1527707268" size="40960" />
+		<layer id="1602" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="969802840" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1603" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4132" name="__module.model.gpt_neox.layers.17.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1604" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57991,20 +24150,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2979">
+				<port id="2" precision="FP32" names="1588,input.107">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4133" name="__module.model.gpt_neox.layers.17.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1605" name="__module.model.gpt_neox.layers.10.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58014,15 +24171,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="2980">
+				<port id="1" precision="FP32" names="1589">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4134" name="self.model.gpt_neox.layers.17.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1527748228" size="26214400" />
+		<layer id="1606" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="969823320" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -58030,7 +24187,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4135" name="Convert_449636" type="Convert" version="opset1">
+		<layer id="1607" name="Convert_245372" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58045,8 +24202,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4136" name="self.model.gpt_neox.layers.17.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1553962628" size="2560" />
+		<layer id="1608" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="996037720" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -58054,7 +24211,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4137" name="Convert_449639" type="Convert" version="opset1">
+		<layer id="1609" name="Convert_245375" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58069,7 +24226,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4138" name="self.model.gpt_neox.layers.17.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1610" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58088,8 +24245,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4139" name="self.model.gpt_neox.layers.17.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1553965188" size="5120" />
+		<layer id="1611" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="996040280" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -58097,7 +24254,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4140" name="self.model.gpt_neox.layers.17.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1612" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58116,8 +24273,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4141" name="self.model.gpt_neox.layers.17.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1613" name="__module.model.gpt_neox.layers.10.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -58131,7 +24291,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4142" name="__module.model.gpt_neox.layers.17.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1614" name="__module.model.gpt_neox.layers.10.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58152,17 +24312,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4143" name="Constant_325370" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1553970308" size="10240" />
+		<layer id="1615" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="996045400" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1616" name="__module.model.gpt_neox.layers.10.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4144" name="__module.model.gpt_neox.layers.17.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1617" name="__module.model.gpt_neox.layers.10.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58171,20 +24345,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2983,input.73">
+				<port id="2" precision="FP32" names="1592,input.109">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4145" name="__module.model.gpt_neox.layers.17/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1618" name="__module.model.gpt_neox.layers.10/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58199,14 +24371,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2985,2987,hidden_states.37">
+				<port id="2" precision="FP32" names="1594,1596,input.111">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4146" name="__module.model.gpt_neox.layers.18.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1619" name="__module.model.gpt_neox.layers.11.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -58214,7 +24386,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4147" name="__module.model.gpt_neox.layers.18.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1620" name="__module.model.gpt_neox.layers.11.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58234,8 +24406,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4148" name="Constant_325371" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1553980548" size="10240" />
+		<layer id="1621" name="Constant_117186" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="996050520" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58244,7 +24416,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4149" name="__module.model.gpt_neox.layers.18.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1622" name="__module.model.gpt_neox.layers.11.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58266,8 +24438,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4150" name="Constant_325372" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1553990788" size="10240" />
+		<layer id="1623" name="Constant_117187" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="996060760" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58276,7 +24448,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4151" name="__module.model.gpt_neox.layers.18.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1624" name="__module.model.gpt_neox.layers.11.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58291,15 +24463,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2997">
+				<port id="2" precision="FP32" names="1606,hidden_states.23">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4152" name="self.model.gpt_neox.layers.18.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1554001028" size="19660800" />
+		<layer id="1625" name="self.model.gpt_neox.layers.11.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="996071000" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -58307,7 +24479,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4153" name="Convert_449647" type="Convert" version="opset1">
+		<layer id="1626" name="Convert_477410" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58322,8 +24494,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4154" name="self.model.gpt_neox.layers.18.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1573661828" size="7680" />
+		<layer id="1627" name="self.model.gpt_neox.layers.11.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="1015731800" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -58331,7 +24503,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4155" name="Convert_449650" type="Convert" version="opset1">
+		<layer id="1628" name="Convert_477413" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58346,7 +24518,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4156" name="self.model.gpt_neox.layers.18.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1629" name="self.model.gpt_neox.layers.11.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58365,8 +24537,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4157" name="self.model.gpt_neox.layers.18.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1573669508" size="15360" />
+		<layer id="1630" name="self.model.gpt_neox.layers.11.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="1015739480" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -58374,7 +24546,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4158" name="self.model.gpt_neox.layers.18.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1631" name="self.model.gpt_neox.layers.11.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -58393,8 +24565,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4159" name="self.model.gpt_neox.layers.18.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1632" name="__module.model.gpt_neox.layers.11.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -58408,7 +24583,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4160" name="__module.model.gpt_neox.layers.18.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1633" name="__module.model.gpt_neox.layers.11.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58429,17 +24604,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4161" name="Constant_325373" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1573684868" size="30720" />
+		<layer id="1634" name="self.model.gpt_neox.layers.11.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="1015754840" size="15360" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.11.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1635" name="__module.model.gpt_neox.layers.11.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4162" name="__module.model.gpt_neox.layers.18.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1636" name="__module.model.gpt_neox.layers.11.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58448,28 +24637,26 @@
 					<dim>7680</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3004,qkv.73">
+				<port id="2" precision="FP32" names="1613">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4163" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992288" size="32" />
+		<layer id="1637" name="Constant_125448" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4164" name="__module.model.gpt_neox.layers.18.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="1638" name="__module.model.gpt_neox.layers.11.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58477,93 +24664,568 @@
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1615">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1639" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1640" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1616,qkv.23">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1641" name="__module.model.gpt_neox.layers.11.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1618,q.23">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="4" precision="FP32" names="1619,k.23">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="5" precision="FP32" names="1620,value_states.23">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1642" name="Constant_8512" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1643" name="Constant_8515" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1644" name="Constant_8510" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1645" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1624,q_rot.23">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1646" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1628">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1647" name="Constant_8694" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1648" name="Constant_8696" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1649" name="Constant_8653" type="Const" version="opset1">
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+			</output>
+		</layer>
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+			</output>
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+				<port id="0" precision="FP32" />
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+			</output>
+		</layer>
+		<layer id="1666" name="Broadcast_128257" type="Broadcast" version="opset3">
+			<data mode="numpy" />
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+				<port id="0" precision="FP32" />
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+			</output>
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 				</port>
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 			</input>
 			<output>
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+				<port id="3" precision="FP32">
 					<dim>-1</dim>
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 		</layer>
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="1672" name="Constant_8528" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="1673" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1626,k_rot.23">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			</output>
-		</layer>
-		<layer id="4170" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1674" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3011,query.109">
+				<port id="2" precision="FP32" names="1644">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -58571,32 +25233,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4171" name="Constant_300713" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1675" name="Constant_8903" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4172" name="Constant_300716" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1676" name="Constant_8905" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4173" name="Constant_300719" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1677" name="Constant_8862" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1678" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58605,147 +25266,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1654,x2.47">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+		<layer id="1679" name="__module.model.gpt_neox.layers.11.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
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-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4176" name="__module.model.gpt_neox.layers.18.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1680" name="__module.model.gpt_neox.layers.11.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
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+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1681" name="__module.model.gpt_neox.layers.11.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
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+			<output>
+				<port id="2" precision="FP32" names="1655">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4177" name="Constant_300725" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1682" name="Constant_8770" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
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+					<dim>-1</dim>
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 		</layer>
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+		<layer id="1686" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>-1</dim>
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 			<output>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-				<port id="0" precision="I64">
+		<layer id="1687" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1658">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="4183" name="Constant_339549" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1688" name="__module.model.gpt_neox.layers.11.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="1659,1663,k_embed.23,key_states.25">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4184" name="Gather_339550" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1689" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="3022">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.45">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4185" name="Constant_433106" type="Const" version="opset1">
+		<layer id="1690" name="Constant_128244" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4186" name="Constant_433099" type="Const" version="opset1">
+		<layer id="1691" name="Constant_128237" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -58753,7 +25490,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4187" name="Constant_433101" type="Const" version="opset1">
+		<layer id="1692" name="Constant_128239" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -58761,7 +25498,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4188" name="Constant_433103" type="Const" version="opset1">
+		<layer id="1693" name="Constant_128241" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -58769,7 +25506,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4189" name="Concat_433104" type="Concat" version="opset1">
+		<layer id="1694" name="Concat_128242" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -58791,7 +25528,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4190" name="Broadcast_433107" type="Broadcast" version="opset3">
+		<layer id="1695" name="Broadcast_128245" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -58808,8 +25545,8 @@
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 			</output>
 		</layer>
-		<layer id="4191" name="ReadValue_417322" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.18.keypresent.18.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1696" name="ReadValue_127431" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.11.valuepresent.11.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58819,7 +25556,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.18.key">
+				<port id="1" precision="FP32" names="past_key_values.11.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -58827,13 +25564,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4192" name="Constant_401998" type="Const" version="opset1">
+		<layer id="1697" name="Constant_126886" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4193" name="Gather_401999" type="Gather" version="opset8">
+		<layer id="1698" name="Gather_126887" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58856,8 +25593,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4194" name="ShapeOf_339552" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1699" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58865,171 +25602,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-				<port id="0" precision="I64" />
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-		<layer id="4196" name="Constant_339554" type="Const" version="opset1">
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-			<output>
-				<port id="4" precision="FP32" names="3031,3034,cos.73">
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-				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>80</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="1700" name="__module.model.gpt_neox.layers.11.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>80</dim>
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-			<output>
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 					<dim>-1</dim>
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-				<port id="0" precision="FP32">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
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 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1676,attn_output.67">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59037,24 +25656,15 @@
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-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1701" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Constant_1" type="Const" version="opset1">
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 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="1702" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59062,1060 +25672,1082 @@
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 					<dim>80</dim>
 				</port>
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-			<input>
-				<port id="0" precision="I64">
+				<port id="1" precision="I32">
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-				<port id="1" precision="I64" />
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+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3017">
+				<port id="2" precision="FP32" names="1727,qkv.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4281" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1771" name="__module.model.gpt_neox.layers.12.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1729,q.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="4" precision="FP32" names="1730,k.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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-				<port id="2" precision="FP32" names="present.18.value">
+				<port id="5" precision="FP32" names="1731,value_states.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -60123,35 +26755,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4282" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="1772" name="Constant_9220" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3094">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4283" name="Constant_300961" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="1773" name="Constant_9223" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4284" name="Constant_300960" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="1774" name="Constant_9218" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4285" name="ShapeOf_339557" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1775" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -60159,50 +26787,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="4286" name="Constant_339558" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="4287" name="Constant_339559" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4288" name="Gather_339560" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="1735,q_rot.25">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4289" name="Add_339561" type="Add" version="opset1">
+		<layer id="1776" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="3089" />
-			</output>
-		</layer>
-		<layer id="4290" name="ShapeOf_339628" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -60210,82 +26818,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4291" name="Constant_339629" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4292" name="Constant_339630" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4293" name="Gather_339631" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3087" />
-			</output>
-		</layer>
-		<layer id="4294" name="__module.model.gpt_neox.layers.18.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3091,3092" />
+				<port id="2" precision="FP32" names="1739">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4295" name="Constant_337770" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1777" name="Constant_9402" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1778" name="Constant_9404" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4297" name="Constant_300959" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1779" name="Constant_9361" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4298" name="ScatterUpdate_300962" type="ScatterUpdate" version="opset3">
+		<layer id="1780" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -60293,139 +26872,88 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="4299" name="Constant_300963" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="4300" name="Constant_337772" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		</layer>
-		<layer id="4301" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1749,x2.49">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64">
-					<dim>3</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1781" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4303" name="Constant_300967" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497588" size="24" />
+		<layer id="1782" name="__module.model.gpt_neox.layers.12.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4304" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1783" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="3095">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1750">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-			</output>
-		</layer>
-		<layer id="4305" name="Constant_301040" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4306" name="Constant_301041" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1784" name="Constant_9269" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4307" name="Constant_301037" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1785" name="Constant_9310" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4308" name="Constant_301036" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1786" name="Constant_9267" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4309" name="ScatterUpdate_301042" type="ScatterUpdate" version="opset3">
+		<layer id="1787" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -60433,182 +26961,128 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4310" name="Constant_301045" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-			</output>
-		</layer>
-		<layer id="4311" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
-			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="3096,3097">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1744,x1.49">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4312" name="__module.model.gpt_neox.layers.18.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4313" name="__module.model.gpt_neox.layers.18.attention/aten::full/Convert" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="3084" />
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-		</layer>
-		<layer id="4314" name="__module.model.gpt_neox.layers.18.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1788" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 			</output>
 		</layer>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>32</dim>
 					<dim>-1</dim>
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 			</output>
 		</layer>
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+					<dim>-1</dim>
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 		</layer>
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+		<layer id="1791" name="Constant_128280" type="Const" version="opset1">
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+				<port id="0" precision="FP32" />
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+		<layer id="1792" name="Constant_128273" type="Const" version="opset1">
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1793" name="Constant_128275" type="Const" version="opset1">
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1794" name="Constant_128277" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4323" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1795" name="Concat_128278" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -60625,51 +27099,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3099">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4324" name="Maximum_316286" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1796" name="Broadcast_128281" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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+				<port id="0" precision="FP32" />
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+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="4325" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1797" name="ReadValue_127433" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.12.keypresent.12.key" variable_type="f32" variable_shape="?,32,?,80" />
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 				<port id="0" precision="FP32">
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-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.12.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="1798" name="Constant_126889" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1799" name="Gather_126890" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -60677,43 +27155,45 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="1800" name="Constant_9238" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
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+				<port id="0" precision="I64">
 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="1801" name="Constant_9241" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4327" name="Constant_11149" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1802" name="Constant_9236" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3104">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4328" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1803" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -60722,530 +27202,551 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3105">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1737,k_rot.25">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4329" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
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-			</output>
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-			<data special_zero="true" />
+		<layer id="1804" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1755">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 2560" offset="1573715588" size="6553600" />
+		<layer id="1805" name="Constant_9611" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4332" name="Convert_449658" type="Convert" version="opset1">
-			<data destination_type="f16" />
-			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="1806" name="Constant_9613" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="1580269188" size="2560" />
+		<layer id="1807" name="Constant_9570" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4334" name="Convert_449661" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="1808" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="4335" name="self.model.gpt_neox.layers.18.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
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+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP16">
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+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>2560</dim>
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-			<output>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
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 			</output>
 		</layer>
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-				<port id="1" precision="FP16">
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-					<dim>1</dim>
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+		<layer id="1809" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="2" precision="FP16">
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-					<dim>2560</dim>
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+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4338" name="self.model.gpt_neox.layers.18.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1810" name="__module.model.gpt_neox.layers.12.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
-				<port id="0" precision="FP16">
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-					<dim>2560</dim>
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 			<output>
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-					<dim>2560</dim>
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+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
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+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-				<port id="1" precision="FP32">
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-					<dim>2560</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
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 			<output>
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+				<port id="2" precision="FP32" names="1766">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 			<output>
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+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
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-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4362" name="Convert_449680" type="Convert" version="opset1">
+		<layer id="1835" name="Convert_619211" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4363" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1632808068" size="2560" />
+		<layer id="1836" name="self.model.gpt_neox.layers.12.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1101123160" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -61253,7 +27754,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4364" name="Convert_449683" type="Convert" version="opset1">
+		<layer id="1837" name="Convert_619214" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -61268,12 +27769,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4365" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1838" name="self.model.gpt_neox.layers.12.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -61283,12 +27784,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4366" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1632810628" size="5120" />
+		<layer id="1839" name="self.model.gpt_neox.layers.12.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1101125720" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -61296,12 +27797,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4367" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1840" name="self.model.gpt_neox.layers.12.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -61311,36 +27812,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4368" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1841" name="__module.model.gpt_neox.layers.12.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4369" name="__module.model.gpt_neox.layers.18.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1842" name="__module.model.gpt_neox.layers.12.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -61351,17 +27855,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4370" name="Constant_325380" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1632815748" size="10240" />
+		<layer id="1843" name="self.model.gpt_neox.layers.12.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1101130840" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.12.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1844" name="__module.model.gpt_neox.layers.12.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4371" name="__module.model.gpt_neox.layers.18.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1845" name="__module.model.gpt_neox.layers.12.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61370,20 +27888,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3132,input.77">
+				<port id="2" precision="FP32" names="1795,1797,input.123">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4372" name="__module.model.gpt_neox.layers.18/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1846" name="__module.model.gpt_neox.layers.12/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61398,14 +27914,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3134,3136,hidden_states.39">
+				<port id="2" precision="FP32" names="1801,input.125">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4373" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1847" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -61413,7 +27929,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4374" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1848" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61433,8 +27949,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4375" name="Constant_325381" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1632825988" size="10240" />
+		<layer id="1849" name="Constant_117192" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1101135960" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61443,7 +27959,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4376" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1850" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61465,8 +27981,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4377" name="Constant_325382" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1632836228" size="10240" />
+		<layer id="1851" name="Constant_117193" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1101146200" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61475,7 +27991,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4378" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1852" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61490,124 +28006,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3146">
+				<port id="2" precision="FP32" names="1805">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4379" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1632846468" size="19660800" />
+		<layer id="1853" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1101156440" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4380" name="Convert_449691" type="Convert" version="opset1">
+		<layer id="1854" name="Convert_258263" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4381" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1652507268" size="7680" />
+		<layer id="1855" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1127370840" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4382" name="Convert_449694" type="Convert" version="opset1">
+		<layer id="1856" name="Convert_258266" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4383" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1857" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4384" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1652514948" size="15360" />
+		<layer id="1858" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1127381080" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4385" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1859" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4386" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1860" name="__module.model.gpt_neox.layers.12.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4387" name="__module.model.gpt_neox.layers.19.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1861" name="__module.model.gpt_neox.layers.12.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61616,7 +28135,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -61624,1053 +28143,626 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4388" name="Constant_325383" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1652530308" size="30720" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4389" name="__module.model.gpt_neox.layers.19.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
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-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="3153,qkv.77">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4390" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992288" size="32" />
+		<layer id="1862" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1127401560" size="20480" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
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 				<port id="1" precision="FP32">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="1894" name="self.model.gpt_neox.layers.13.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="1173353560" size="15360" />
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-					<dim>80</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.attention.query_key_value.bias">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+		<layer id="1895" name="__module.model.gpt_neox.layers.13.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
+					<dim>7680</dim>
 				</port>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+			</input>
 			<output>
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+				<port id="1" precision="FP32">
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 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1896" name="__module.model.gpt_neox.layers.13.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
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-					<dim>1</dim>
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+					<dim>-1</dim>
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 				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1835">
 					<dim>-1</dim>
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+					<dim>-1</dim>
+					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="4458" name="Constant_38344" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="1897" name="Constant_125450" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="1898" name="__module.model.gpt_neox.layers.13.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
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-				<port id="1" precision="I32">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1837">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="1899" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1900" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3205">
+				<port id="2" precision="FP32" names="1838,qkv.27">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4462" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1901" name="__module.model.gpt_neox.layers.13.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>240</dim>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3206,3224,3234,query.117,query.119">
+				<port id="3" precision="FP32" names="1840,q.27">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="4463" name="Constant_11275" type="Const" version="opset1">
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-				<port id="0" precision="I64" names="3162">
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-			</output>
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-		<layer id="4464" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="1841,k.27">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="3163,key.115">
+				<port id="5" precision="FP32" names="1842,value_states.27">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62678,32 +28770,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4465" name="Constant_301190" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1902" name="Constant_9928" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4466" name="Constant_301193" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1903" name="Constant_9931" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4467" name="Constant_301196" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1904" name="Constant_9926" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4468" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1905" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62712,17 +28803,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3169,k.39">
+				<port id="5" precision="FP32" names="1846,q_rot.27">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62730,7 +28824,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4469" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="1906" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62747,7 +28841,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3207">
+				<port id="2" precision="FP32" names="1850">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62755,144 +28849,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4470" name="Constant_301200" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
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-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4471" name="Constant_301199" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1907" name="Constant_10110" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
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-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4473" name="__module.model.gpt_neox.layers.19.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4474" name="__module.model.gpt_neox.layers.19.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3208,3213" />
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-		</layer>
-		<layer id="4475" name="__module.model.gpt_neox.layers.19.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" />
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-		</layer>
-		<layer id="4476" name="__module.model.gpt_neox.layers.19.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
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-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3210,3211,3215,3216" />
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-		</layer>
-		<layer id="4477" name="Constant_337778" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1908" name="Constant_10112" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-		<layer id="4479" name="Constant_301198" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1909" name="Constant_10069" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
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-					<dim>1</dim>
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 				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
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-		</layer>
-		<layer id="4481" name="Constant_301204" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="4482" name="Constant_301207" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="4483" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1910" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62901,17 +28882,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3217,x2.79">
+				<port id="5" precision="FP32" names="1860,x2.53">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62919,18 +28903,22 @@
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 			</output>
 		</layer>
-		<layer id="4484" name="Constant_325385" type="Const" version="opset1">
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+		<layer id="1911" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="1912" name="__module.model.gpt_neox.layers.13.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4485" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1913" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62939,15 +28927,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1861">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62955,24 +28938,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4486" name="Constant_301252" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1914" name="Constant_9977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4487" name="Constant_301257" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1915" name="Constant_10018" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1916" name="Constant_9975" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4488" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1917" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62981,17 +28971,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3212">
+				<port id="5" precision="FP32" names="1855,x1.53">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62999,7 +28992,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4489" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1918" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63016,7 +29009,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3220">
+				<port id="2" precision="FP32" names="1863">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -63024,7 +29017,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4490" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1919" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63041,7 +29034,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3221">
+				<port id="2" precision="FP32" names="1864">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -63049,7 +29042,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4491" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1920" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63066,32 +29059,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3222,3226">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4492" name="__module.model.gpt_neox.layers.19.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.19.key">
+				<port id="2" precision="FP32" names="1865,1883,q_embed.27,query.53">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -63099,13 +29067,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4493" name="Constant_433145" type="Const" version="opset1">
+		<layer id="1921" name="Constant_128304" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4494" name="Constant_433138" type="Const" version="opset1">
+		<layer id="1922" name="Constant_128297" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -63113,7 +29081,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4495" name="Constant_433140" type="Const" version="opset1">
+		<layer id="1923" name="Constant_128299" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -63121,7 +29089,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4496" name="Constant_433142" type="Const" version="opset1">
+		<layer id="1924" name="Constant_128301" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -63129,7 +29097,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4497" name="Concat_433143" type="Concat" version="opset1">
+		<layer id="1925" name="Concat_128302" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -63151,7 +29119,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4498" name="Broadcast_433146" type="Broadcast" version="opset3">
+		<layer id="1926" name="Broadcast_128305" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -63168,8 +29136,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4499" name="ReadValue_417328" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.19.valuepresent.19.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1927" name="ReadValue_127437" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.13.keypresent.13.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63179,7 +29147,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.19.value">
+				<port id="1" precision="FP32" names="past_key_values.13.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -63187,13 +29155,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4500" name="Constant_402007" type="Const" version="opset1">
+		<layer id="1928" name="Constant_126895" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4501" name="Gather_402008" type="Gather" version="opset8">
+		<layer id="1929" name="Gather_126896" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63216,80 +29184,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4502" name="Constant_301302" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="1930" name="Constant_9946" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4503" name="Constant_301305" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="1931" name="Constant_9949" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4504" name="Constant_301308" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1932" name="Constant_9944" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4505" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1933" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="3164">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4506" name="Constant_11289" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="3165">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4507" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3166">
+				<port id="5" precision="FP32" names="1848,k_rot.27">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -63297,8 +29238,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4508" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1934" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63308,13 +29249,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.19.value">
+				<port id="2" precision="FP32" names="1866">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -63322,86 +29263,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4509" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
-			<output>
-				<port id="0" precision="BOOL" names="3243">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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-			</output>
-		</layer>
-		<layer id="4510" name="Constant_301312" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="1935" name="Constant_10319" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4511" name="Constant_301311" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="1936" name="Constant_10321" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4512" name="ShapeOf_339648" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4513" name="Constant_339649" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="1937" name="Constant_10278" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4514" name="Constant_339650" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="4515" name="Gather_339651" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" />
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-		</layer>
-		<layer id="4516" name="Add_339652" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" names="3238" />
 			</output>
 		</layer>
-		<layer id="4517" name="ShapeOf_339719" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1938" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63409,222 +29295,94 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-		<layer id="4518" name="Constant_339720" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="4519" name="Constant_339721" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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 					<dim>1</dim>
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@@ -63824,50 +29553,102 @@
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 			</input>
 			<output>
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+				<port id="4" precision="I64">
 					<dim>4</dim>
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 			</output>
 		</layer>
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+		<layer id="1955" name="Broadcast_128293" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP32" />
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 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32">
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+					<dim>32</dim>
+					<dim>0</dim>
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 		</layer>
-		<layer id="4552" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1956" name="ReadValue_127439" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.13.valuepresent.13.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="FP32" names="past_key_values.13.value">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+		</layer>
+		<layer id="1957" name="Constant_126898" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1958" name="Gather_126899" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1959" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3250">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.53">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4553" name="__module.model.gpt_neox.layers.19.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1960" name="__module.model.gpt_neox.layers.13.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63894,9 +29675,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3251,3252,sdpa_result.39,tensor.77">
+				<port id="5" precision="FP32" names="1898,attn_output.79">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -63904,15 +29686,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4554" name="Constant_11730" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1961" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3253">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4555" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1962" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63920,12 +29702,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3254">
+				<port id="2" precision="FP32" names="1899">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -63933,16 +29715,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4556" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4557" name="__module.model.gpt_neox.layers.19.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1963" name="__module.model.gpt_neox.layers.13.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63955,15 +29729,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3259">
+				<port id="2" precision="FP32" names="1902">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4558" name="self.model.gpt_neox.layers.19.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1652561028" size="6553600" />
+		<layer id="1964" name="self.model.gpt_neox.layers.13.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1173368920" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -63971,7 +29745,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4559" name="Convert_449702" type="Convert" version="opset1">
+		<layer id="1965" name="Convert_623508" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -63986,8 +29760,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4560" name="self.model.gpt_neox.layers.19.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1659114628" size="2560" />
+		<layer id="1966" name="self.model.gpt_neox.layers.13.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1179922520" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -63995,7 +29769,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4561" name="Convert_449705" type="Convert" version="opset1">
+		<layer id="1967" name="Convert_623511" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -64010,7 +29784,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4562" name="self.model.gpt_neox.layers.19.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1968" name="self.model.gpt_neox.layers.13.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -64029,8 +29803,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4563" name="self.model.gpt_neox.layers.19.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1659117188" size="5120" />
+		<layer id="1969" name="self.model.gpt_neox.layers.13.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1179925080" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -64038,7 +29812,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4564" name="self.model.gpt_neox.layers.19.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1970" name="self.model.gpt_neox.layers.13.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -64057,8 +29831,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4565" name="self.model.gpt_neox.layers.19.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1971" name="__module.model.gpt_neox.layers.13.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -64072,13 +29849,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4566" name="__module.model.gpt_neox.layers.19.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1972" name="__module.model.gpt_neox.layers.13.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -64093,17 +29870,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4567" name="Constant_325386" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1659122308" size="10240" />
+		<layer id="1973" name="self.model.gpt_neox.layers.13.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1179930200" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1974" name="__module.model.gpt_neox.layers.13.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4568" name="__module.model.gpt_neox.layers.19.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1975" name="__module.model.gpt_neox.layers.13.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64112,20 +29903,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3262,3264,input.79">
+				<port id="2" precision="FP32" names="1906,1908,input.133">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4569" name="__module.model.gpt_neox.layers.19/aten::add/Add" type="Add" version="opset1">
+		<layer id="1976" name="__module.model.gpt_neox.layers.13/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64140,14 +29929,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3268,attn_output.79">
+				<port id="2" precision="FP32" names="1912,input.135">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4570" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1977" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -64155,7 +29944,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4571" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1978" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64175,8 +29964,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4572" name="Constant_325387" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1659132548" size="10240" />
+		<layer id="1979" name="Constant_117196" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1179935320" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -64185,7 +29974,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4573" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1980" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64207,8 +29996,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4574" name="Constant_325388" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1659142788" size="10240" />
+		<layer id="1981" name="Constant_117197" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1179945560" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -64217,7 +30006,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4575" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1982" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64232,15 +30021,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3272">
+				<port id="2" precision="FP32" names="1916">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4576" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="1659153028" size="26214400" />
+		<layer id="1983" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1179955800" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -64248,7 +30037,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4577" name="Convert_449713" type="Convert" version="opset1">
+		<layer id="1984" name="Convert_266857" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -64263,8 +30052,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4578" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="1685367428" size="10240" />
+		<layer id="1985" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1206170200" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -64272,7 +30061,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4579" name="Convert_449716" type="Convert" version="opset1">
+		<layer id="1986" name="Convert_266860" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -64287,7 +30076,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4580" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1987" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -64306,8 +30095,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4581" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="1685377668" size="20480" />
+		<layer id="1988" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1206180440" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -64315,7 +30104,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4582" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1989" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -64334,8 +30123,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4583" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1990" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -64349,7 +30141,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4584" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1991" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64370,17 +30162,31 @@
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 			</output>
 		</layer>
-		<layer id="4585" name="Constant_325389" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1685398148" size="40960" />
+		<layer id="1992" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1206200920" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1993" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4586" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1994" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64389,20 +30195,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3277">
+				<port id="2" precision="FP32" names="1921,input.137">
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 					<dim>-1</dim>
 					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="4587" name="__module.model.gpt_neox.layers.19.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1995" name="__module.model.gpt_neox.layers.13.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64412,15 +30216,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="3278">
+				<port id="1" precision="FP32" names="1922">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4588" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1685439108" size="26214400" />
+		<layer id="1996" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="1206221400" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -64428,7 +30232,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4589" name="Convert_449724" type="Convert" version="opset1">
+		<layer id="1997" name="Convert_271154" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -64443,8 +30247,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4590" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1711653508" size="2560" />
+		<layer id="1998" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1232435800" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -64452,7 +30256,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4591" name="Convert_449727" type="Convert" version="opset1">
+		<layer id="1999" name="Convert_271157" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -64467,7 +30271,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4592" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2000" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -64486,8 +30290,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4593" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1711656068" size="5120" />
+		<layer id="2001" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1232438360" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -64495,7 +30299,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4594" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2002" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -64514,8 +30318,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4595" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2003" name="__module.model.gpt_neox.layers.13.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -64529,7 +30336,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4596" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2004" name="__module.model.gpt_neox.layers.13.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64550,17 +30357,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4597" name="Constant_325390" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1711661188" size="10240" />
+		<layer id="2005" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1232443480" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4598" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2006" name="__module.model.gpt_neox.layers.13.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2007" name="__module.model.gpt_neox.layers.13.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64569,20 +30390,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3281,input.81">
+				<port id="2" precision="FP32" names="1925,input.139">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4599" name="__module.model.gpt_neox.layers.19/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2008" name="__module.model.gpt_neox.layers.13/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64597,14 +30416,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3283,3285,hidden_states.41">
+				<port id="2" precision="FP32" names="1927,1929,input.141">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4600" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2009" name="__module.model.gpt_neox.layers.14.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -64612,7 +30431,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4601" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2010" name="__module.model.gpt_neox.layers.14.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64632,8 +30451,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4602" name="Constant_325391" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1711671428" size="10240" />
+		<layer id="2011" name="Constant_117198" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1232448600" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -64642,7 +30461,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4603" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2012" name="__module.model.gpt_neox.layers.14.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64664,8 +30483,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4604" name="Constant_325392" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1711681668" size="10240" />
+		<layer id="2013" name="Constant_117199" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1232458840" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -64674,7 +30493,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4605" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2014" name="__module.model.gpt_neox.layers.14.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64689,15 +30508,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3295">
+				<port id="2" precision="FP32" names="1939,hidden_states.29">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4606" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1711691908" size="19660800" />
+		<layer id="2015" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="1232469080" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -64705,7 +30524,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4607" name="Convert_449735" type="Convert" version="opset1">
+		<layer id="2016" name="Convert_490301" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -64720,8 +30539,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4608" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1731352708" size="7680" />
+		<layer id="2017" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="1252129880" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -64729,7 +30548,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4609" name="Convert_449738" type="Convert" version="opset1">
+		<layer id="2018" name="Convert_490304" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -64744,7 +30563,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4610" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2019" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -64763,8 +30582,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4611" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1731360388" size="15360" />
+		<layer id="2020" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="1252137560" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -64772,7 +30591,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4612" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2021" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -64791,8 +30610,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4613" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2022" name="__module.model.gpt_neox.layers.14.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -64806,7 +30628,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4614" name="__module.model.gpt_neox.layers.20.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2023" name="__module.model.gpt_neox.layers.14.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64827,141 +30649,628 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4615" name="Constant_325393" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1731375748" size="30720" />
+		<layer id="2024" name="self.model.gpt_neox.layers.14.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="1252152920" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.14.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2025" name="__module.model.gpt_neox.layers.14.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2026" name="__module.model.gpt_neox.layers.14.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</input>
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3307">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1959,k_rot.29">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4623" name="Constant_11842" type="Const" version="opset1">
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-				<port id="0" precision="I64" names="3308">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4624" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2064" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3309,query.121">
+				<port id="2" precision="FP32" names="1977">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -64969,32 +31278,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4625" name="Constant_301415" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2065" name="Constant_11027" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4626" name="Constant_301418" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="2066" name="Constant_11029" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4627" name="Constant_301421" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2067" name="Constant_10986" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4628" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2068" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65003,147 +31311,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3316,q.41">
+				<port id="5" precision="FP32" names="1987,x2.59">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4629" name="self.model.gpt_neox.layers.20.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+		<layer id="2069" name="__module.model.gpt_neox.layers.14.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.20.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4630" name="__module.model.gpt_neox.layers.20.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2070" name="__module.model.gpt_neox.layers.14.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2071" name="__module.model.gpt_neox.layers.14.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1988">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4631" name="Constant_301427" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="2072" name="Constant_10894" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4632" name="Constant_301430" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="2073" name="Constant_10935" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4633" name="Constant_301433" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2074" name="Constant_10892" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4634" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2075" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3310">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1982,x1.59">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4635" name="ShapeOf_339729" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2076" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1990">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4636" name="Constant_341030" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2077" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1991">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4637" name="Constant_339731" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="2078" name="__module.model.gpt_neox.layers.14.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="1992,1996,k_embed.29,key_states.31">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4638" name="Gather_339732" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2079" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3320">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.57">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4639" name="Constant_433158" type="Const" version="opset1">
+		<layer id="2080" name="Constant_128316" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4640" name="Constant_433151" type="Const" version="opset1">
+		<layer id="2081" name="Constant_128309" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -65151,7 +31535,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4641" name="Constant_433153" type="Const" version="opset1">
+		<layer id="2082" name="Constant_128311" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -65159,7 +31543,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4642" name="Constant_433155" type="Const" version="opset1">
+		<layer id="2083" name="Constant_128313" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -65167,7 +31551,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4643" name="Concat_433156" type="Concat" version="opset1">
+		<layer id="2084" name="Concat_128314" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -65189,7 +31573,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4644" name="Broadcast_433159" type="Broadcast" version="opset3">
+		<layer id="2085" name="Broadcast_128317" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -65206,8 +31590,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4645" name="ReadValue_417334" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.20.keypresent.20.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2086" name="ReadValue_127443" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.14.valuepresent.14.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65217,7 +31601,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.20.key">
+				<port id="1" precision="FP32" names="past_key_values.14.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65225,13 +31609,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4646" name="Constant_402010" type="Const" version="opset1">
+		<layer id="2087" name="Constant_126904" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4647" name="Gather_402011" type="Gather" version="opset8">
+		<layer id="2088" name="Gather_126905" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65254,8 +31638,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4648" name="ShapeOf_339734" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2089" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65263,171 +31647,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4649" name="Constant_339735" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4650" name="Constant_339736" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="4651" name="Gather_339737" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" names="3322" />
-			</output>
-		</layer>
-		<layer id="4652" name="Constant_337784" type="Const" version="opset1">
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-				<port id="0" precision="I64">
-					<dim>1</dim>
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-		</layer>
-		<layer id="4653" name="Reshape_340945" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			<output>
-				<port id="2" precision="I64">
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@@ -65435,24 +31701,15 @@
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@@ -65460,1060 +31717,1082 @@
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 					<dim>80</dim>
 				</port>
-			</input>
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-				<port id="1" precision="I64">
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+					<dim>80</dim>
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 		</layer>
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-		<layer id="4727" name="Constant_402013" type="Const" version="opset1">
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+		<layer id="2154" name="self.model.gpt_neox.layers.15.attention.query_key_value.bias" type="Const" version="opset1">
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 		</layer>
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-			<data batch_dims="0" />
+		<layer id="2155" name="__module.model.gpt_neox.layers.15.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+		<layer id="2157" name="Constant_125452" type="Const" version="opset1">
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 			</input>
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 		</layer>
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+		<layer id="2160" name="__module.model.gpt_neox.layers.15.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 			</input>
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+				<port id="2" precision="FP32" names="2060,qkv.31">
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 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>240</dim>
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 		</layer>
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-			<data axis="-2" />
+		<layer id="2161" name="__module.model.gpt_neox.layers.15.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>32</dim>
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 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
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+				<port id="5" precision="FP32" names="2064,value_states.31">
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 					<dim>32</dim>
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@@ -66521,35 +32800,31 @@
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 		</layer>
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+		<layer id="2162" name="Constant_11344" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="BOOL" names="3392">
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-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="2163" name="Constant_11347" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="2164" name="Constant_11342" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
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 		</layer>
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-			<data output_type="i64" />
+		<layer id="2165" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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@@ -66557,50 +32832,30 @@
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 					<dim>80</dim>
 				</port>
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-			<output>
 				<port id="1" precision="I64">
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-		<layer id="4740" name="Constant_339740" type="Const" version="opset1">
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="2068,q_rot.31">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4743" name="Add_339743" type="Add" version="opset1">
+		<layer id="2166" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66608,82 +32863,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-				<port id="0" precision="I64" />
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-		<layer id="4746" name="Constant_339812" type="Const" version="opset1">
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-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-			<output>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3389,3390" />
+				<port id="2" precision="FP32" names="2072">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4749" name="Constant_337790" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2167" name="Constant_11526" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
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-			</input>
+		<layer id="2168" name="Constant_11528" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4751" name="Constant_301661" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2169" name="Constant_11485" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4752" name="ScatterUpdate_301664" type="ScatterUpdate" version="opset3">
+		<layer id="2170" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -66691,139 +32917,88 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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 				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2082,x2.61">
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 			</output>
 		</layer>
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-				<port id="3" precision="I32">
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-			</input>
+		<layer id="2171" name="__module.model.gpt_neox.layers.15.attention/aten::neg/Constant" type="Const" version="opset1">
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 			<output>
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-					<dim>3</dim>
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+				<port id="0" precision="I32" />
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 		</layer>
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+		<layer id="2172" name="__module.model.gpt_neox.layers.15.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<port id="0" precision="I32" />
+			</input>
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+				<port id="1" precision="FP32" />
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 		</layer>
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+		<layer id="2173" name="__module.model.gpt_neox.layers.15.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>32</dim>
+					<dim>-1</dim>
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 					<dim>-1</dim>
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-				<port id="0" precision="I64">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2174" name="Constant_11393" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="4761" name="Constant_301739" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2175" name="Constant_11434" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="4762" name="Constant_301738" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2176" name="Constant_11391" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
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-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4763" name="ScatterUpdate_301744" type="ScatterUpdate" version="opset3">
+		<layer id="2177" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -66831,182 +33006,128 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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 				</port>
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 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2077,x1.61">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4766" name="__module.model.gpt_neox.layers.20.attention/aten::where/Convert_1" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4767" name="__module.model.gpt_neox.layers.20.attention/aten::full/Convert" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="3382" />
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-		</layer>
-		<layer id="4768" name="__module.model.gpt_neox.layers.20.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2178" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3396,causal_mask.81">
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2085">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4769" name="Add_316428" type="Add" version="opset1">
+		<layer id="2179" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2086">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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-			<output>
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-				</port>
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-		<layer id="4771" name="Constant_339816" type="Const" version="opset1">
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-		<layer id="4772" name="Constant_339817" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
 			</output>
 		</layer>
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="2180" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="3380">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2087,2105,q_embed.31,query.61">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4774" name="Constant_268161" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2181" name="Constant_128352" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2182" name="Constant_128345" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4775" name="Constant_268163" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2183" name="Constant_128347" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4776" name="Constant_268165" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2184" name="Constant_128349" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4777" name="__module.model.gpt_neox.layers.20.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="2185" name="Concat_128350" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -67023,51 +33144,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3397">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4778" name="Maximum_316430" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2186" name="Broadcast_128353" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4779" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2187" name="ReadValue_127445" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.15.keypresent.15.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3399">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.15.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4780" name="__module.model.gpt_neox.layers.20.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="2188" name="Constant_126907" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2189" name="Gather_126908" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67075,43 +33200,45 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="2190" name="Constant_11362" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="2191" name="Constant_11365" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="4" precision="FP32" names="3400,3401,sdpa_result.41,tensor.81">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4781" name="Constant_12311" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2192" name="Constant_11360" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3402">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4782" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2193" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67120,530 +33247,551 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3403">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2070,k_rot.31">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4783" name="__module.model.gpt_neox.layers.20.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
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-				<port id="0" precision="I64">
-					<dim>3</dim>
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-		</layer>
-		<layer id="4784" name="__module.model.gpt_neox.layers.20.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2194" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="4809" name="self.model.gpt_neox.layers.20.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2217" name="Constant_126910" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2218" name="Gather_126911" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP16">
-					<dim>10240</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4810" name="self.model.gpt_neox.layers.20.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2219" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32" names="value.61">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4811" name="__module.model.gpt_neox.layers.20.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2220" name="__module.model.gpt_neox.layers.15.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="2120,attn_output.91">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4812" name="Constant_325399" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1764243588" size="40960" />
+		<layer id="2221" name="__module.model.gpt_neox.layers.15.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4813" name="__module.model.gpt_neox.layers.20.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2222" name="__module.model.gpt_neox.layers.15.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3426">
+				<port id="2" precision="FP32" names="2121">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4814" name="__module.model.gpt_neox.layers.20.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
-			<data approximation_mode="ERF" />
+		<layer id="2223" name="__module.model.gpt_neox.layers.15.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="3427">
+				<port id="2" precision="FP32" names="2124">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4815" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1764284548" size="26214400" />
+		<layer id="2224" name="self.model.gpt_neox.layers.15.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1330967640" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4816" name="Convert_449768" type="Convert" version="opset1">
+		<layer id="2225" name="Convert_632102" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4817" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1790498948" size="2560" />
+		<layer id="2226" name="self.model.gpt_neox.layers.15.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1337521240" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -67651,7 +33799,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4818" name="Convert_449771" type="Convert" version="opset1">
+		<layer id="2227" name="Convert_632105" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -67666,12 +33814,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4819" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2228" name="self.model.gpt_neox.layers.15.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -67681,12 +33829,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4820" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1790501508" size="5120" />
+		<layer id="2229" name="self.model.gpt_neox.layers.15.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1337523800" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -67694,12 +33842,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4821" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2230" name="self.model.gpt_neox.layers.15.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -67709,36 +33857,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4822" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2231" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4823" name="__module.model.gpt_neox.layers.20.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2232" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -67749,17 +33900,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4824" name="Constant_325400" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1790506628" size="10240" />
+		<layer id="2233" name="self.model.gpt_neox.layers.15.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1337528920" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.15.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2234" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4825" name="__module.model.gpt_neox.layers.20.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2235" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67768,20 +33933,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3430,input.85">
+				<port id="2" precision="FP32" names="2128,2130,input.153">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4826" name="__module.model.gpt_neox.layers.20/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2236" name="__module.model.gpt_neox.layers.15/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67796,14 +33959,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3432,3434,hidden_states.43">
+				<port id="2" precision="FP32" names="2134,input.155">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4827" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2237" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -67811,7 +33974,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4828" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2238" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67831,8 +33994,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4829" name="Constant_325401" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1790516868" size="10240" />
+		<layer id="2239" name="Constant_117204" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1337534040" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -67841,7 +34004,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4830" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2240" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67863,8 +34026,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4831" name="Constant_325402" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1790527108" size="10240" />
+		<layer id="2241" name="Constant_117205" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1337544280" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -67873,7 +34036,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4832" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2242" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67888,124 +34051,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3444">
+				<port id="2" precision="FP32" names="2138">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4833" name="self.model.gpt_neox.layers.21.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1790537348" size="19660800" />
+		<layer id="2243" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1337554520" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4834" name="Convert_449779" type="Convert" version="opset1">
+		<layer id="2244" name="Convert_284045" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
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 			<data destination_type="f32" />
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 			<data transpose_a="false" transpose_b="true" />
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@@ -68014,7 +34180,7 @@
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@@ -68022,1053 +34188,626 @@
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+		<layer id="2252" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
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+		<layer id="2253" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+			<data destination_type="f32" />
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-					<dim>40</dim>
+				<port id="1" precision="FP32">
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 			</output>
 		</layer>
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-			<data axis="-1" />
+		<layer id="2283" name="__module.model.gpt_neox.layers.16.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 			</input>
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 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="2284" name="self.model.gpt_neox.layers.16.attention.query_key_value.bias" type="Const" version="opset1">
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-					<dim>80</dim>
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+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+		<layer id="2285" name="__module.model.gpt_neox.layers.16.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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 				</port>
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 			<output>
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+				<port id="1" precision="FP32">
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 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2286" name="__module.model.gpt_neox.layers.16.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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+					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="2287" name="Constant_125453" type="Const" version="opset1">
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+				</port>
 			</output>
 		</layer>
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 					<dim>-1</dim>
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 			<output>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="2289" name="__module.model.gpt_neox.layers.16.attention/aten::transpose/Constant" type="Const" version="opset1">
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-					<dim>80</dim>
+				<port id="0" precision="I32">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2290" name="__module.model.gpt_neox.layers.16.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 					<dim>-1</dim>
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-					<dim>80</dim>
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2171,qkv.33">
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 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>240</dim>
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2291" name="__module.model.gpt_neox.layers.16.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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-					<dim>80</dim>
+				<port id="1" precision="I64" />
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+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3504,3522,3532,query.129,query.131">
+				<port id="3" precision="FP32" names="2173,q.33">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="2174,k.33">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69076,32 +34815,31 @@
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2292" name="Constant_12052" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="4920" name="Constant_301895" type="Const" version="opset1">
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+		<layer id="2293" name="Constant_12055" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="4921" name="Constant_301898" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2294" name="Constant_12050" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2295" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69110,17 +34848,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3467,k.43">
+				<port id="5" precision="FP32" names="2179,q_rot.33">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69128,7 +34869,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4923" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="2296" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69145,7 +34886,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3505">
+				<port id="2" precision="FP32" names="2183">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69153,144 +34894,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4924" name="Constant_301902" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4925" name="Constant_301901" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2297" name="Constant_12234" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4926" name="__module.model.gpt_neox.layers.21.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4927" name="__module.model.gpt_neox.layers.21.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4928" name="__module.model.gpt_neox.layers.21.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3506,3511" />
-			</output>
-		</layer>
-		<layer id="4929" name="__module.model.gpt_neox.layers.21.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4930" name="__module.model.gpt_neox.layers.21.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3508,3509,3513,3514" />
-			</output>
-		</layer>
-		<layer id="4931" name="Constant_337798" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2298" name="Constant_12236" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4932" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4933" name="Constant_301900" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2299" name="Constant_12193" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4934" name="ScatterUpdate_301903" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4935" name="Constant_301906" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4936" name="Constant_301909" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="4937" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2300" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69299,17 +34927,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3515,x2.87">
+				<port id="5" precision="FP32" names="2193,x2.65">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69317,18 +34948,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4938" name="Constant_325405" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="2301" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="2302" name="__module.model.gpt_neox.layers.16.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4939" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2303" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69337,15 +34972,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3516">
+				<port id="2" precision="FP32" names="2194">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69353,24 +34983,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4940" name="Constant_301954" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2304" name="Constant_12101" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4941" name="Constant_301959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2305" name="Constant_12142" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2306" name="Constant_12099" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4942" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2307" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69379,17 +35016,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3510">
+				<port id="5" precision="FP32" names="2188,x1.65">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69397,7 +35037,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4943" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2308" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69414,7 +35054,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3518">
+				<port id="2" precision="FP32" names="2196">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69422,7 +35062,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4944" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2309" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69439,7 +35079,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3519">
+				<port id="2" precision="FP32" names="2197">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69447,7 +35087,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4945" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2310" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69464,32 +35104,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3520,3524">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4946" name="__module.model.gpt_neox.layers.21.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.21.key">
+				<port id="2" precision="FP32" names="2198,2216,q_embed.33,query.65">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69497,13 +35112,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4947" name="Constant_433197" type="Const" version="opset1">
+		<layer id="2311" name="Constant_128376" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4948" name="Constant_433190" type="Const" version="opset1">
+		<layer id="2312" name="Constant_128369" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69511,7 +35126,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4949" name="Constant_433192" type="Const" version="opset1">
+		<layer id="2313" name="Constant_128371" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69519,7 +35134,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4950" name="Constant_433194" type="Const" version="opset1">
+		<layer id="2314" name="Constant_128373" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69527,7 +35142,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4951" name="Concat_433195" type="Concat" version="opset1">
+		<layer id="2315" name="Concat_128374" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -69549,7 +35164,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4952" name="Broadcast_433198" type="Broadcast" version="opset3">
+		<layer id="2316" name="Broadcast_128377" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -69566,8 +35181,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4953" name="ReadValue_417340" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.21.valuepresent.21.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2317" name="ReadValue_127449" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.16.keypresent.16.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69577,7 +35192,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.21.value">
+				<port id="1" precision="FP32" names="past_key_values.16.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69585,13 +35200,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4954" name="Constant_402019" type="Const" version="opset1">
+		<layer id="2318" name="Constant_126913" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4955" name="Gather_402020" type="Gather" version="opset8">
+		<layer id="2319" name="Gather_126914" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69614,80 +35229,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4956" name="Constant_302004" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="2320" name="Constant_12070" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4957" name="Constant_302007" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="2321" name="Constant_12073" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4958" name="Constant_302010" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2322" name="Constant_12068" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2323" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_4" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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-					<dim>80</dim>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2181,k_rot.33">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69695,8 +35283,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4962" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="2324" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69706,13 +35294,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.21.value">
+				<port id="2" precision="FP32" names="2199">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69720,86 +35308,31 @@
 				</port>
 			</output>
 		</layer>
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-					<dim>1</dim>
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-					<dim>2048</dim>
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-		<layer id="4964" name="Constant_302014" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="2325" name="Constant_12443" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4965" name="Constant_302013" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="2326" name="Constant_12445" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
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-					<dim>80</dim>
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-				<port id="1" precision="I64">
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-			</output>
-		</layer>
-		<layer id="4967" name="Constant_339831" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4968" name="Constant_339832" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="2327" name="Constant_12402" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I64" />
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-		</layer>
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-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" />
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-		</layer>
-		<layer id="4970" name="Add_339834" type="Add" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
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 			</output>
 		</layer>
-		<layer id="4971" name="ShapeOf_339901" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2328" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69807,222 +35340,94 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="4973" name="Constant_339903" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-			<output>
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-				<port id="1" precision="I64" />
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 				<port id="1" precision="I64">
 					<dim>1</dim>
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 				<port id="2" precision="I64">
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-		<layer id="4978" name="Constant_302012" type="Const" version="opset1">
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-				<port id="0" precision="I32">
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
+				<port id="3" precision="I64">
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 				</port>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2209,x2.67">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-				<port id="1" precision="I64">
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+		<layer id="2329" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Constant_1" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I32" />
 			</output>
 		</layer>
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+		<layer id="2330" name="__module.model.gpt_neox.layers.16.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
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-				<port id="3" precision="I32">
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 			<output>
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-				<port id="0" precision="I64">
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+				<port id="1" precision="FP32" />
 			</output>
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+		<layer id="2331" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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-					<dim>3</dim>
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-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2210">
 					<dim>-1</dim>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
-		<layer id="4987" name="Constant_302094" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2332" name="Constant_12310" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2333" name="Constant_12351" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4989" name="Constant_302089" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2334" name="Constant_12308" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4990" name="ScatterUpdate_302095" type="ScatterUpdate" version="opset3">
+		<layer id="2335" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -70030,182 +35435,153 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="4991" name="Constant_302098" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2204,x1.67">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2336" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
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-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2212">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32" />
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-		<layer id="4994" name="__module.model.gpt_neox.layers.21.attention/aten::full/Convert" type="Const" version="opset1">
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-				<port id="0" precision="FP32" names="3531" />
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-		</layer>
-		<layer id="4995" name="__module.model.gpt_neox.layers.21.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="2337" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
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-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3545,causal_mask.85">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2213">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4996" name="Add_316500" type="Add" version="opset1">
+		<layer id="2338" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2214,2218,k_embed.33,key_states.35">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4997" name="ShapeOf_316501" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2339" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4998" name="Constant_339907" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.65">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4999" name="Constant_339908" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5000" name="Gather_339909" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="2340" name="Constant_128364" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="3529">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5001" name="Constant_268171" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2341" name="Constant_128357" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5002" name="Constant_268173" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2342" name="Constant_128359" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5003" name="Constant_268175" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2343" name="Constant_128361" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5004" name="__module.model.gpt_neox.layers.21.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="2344" name="Concat_128362" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -70222,50 +35598,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3546">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5005" name="Maximum_316502" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2345" name="Broadcast_128365" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5006" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2346" name="ReadValue_127451" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.16.valuepresent.16.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.16.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2347" name="Constant_126916" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2348" name="Gather_126917" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2349" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3548">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.65">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5007" name="__module.model.gpt_neox.layers.21.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="2350" name="__module.model.gpt_neox.layers.16.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70292,9 +35720,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3549,3550,sdpa_result.43,tensor.85">
+				<port id="5" precision="FP32" names="2231,attn_output.97">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -70302,15 +35731,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5008" name="Constant_12892" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2351" name="__module.model.gpt_neox.layers.16.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3551">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5009" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2352" name="__module.model.gpt_neox.layers.16.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -70318,12 +35747,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3552">
+				<port id="2" precision="FP32" names="2232">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -70331,16 +35760,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5010" name="__module.model.gpt_neox.layers.21.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5011" name="__module.model.gpt_neox.layers.21.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2353" name="__module.model.gpt_neox.layers.16.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -70353,15 +35774,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3557">
+				<port id="2" precision="FP32" names="2235">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5012" name="self.model.gpt_neox.layers.21.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1810251908" size="6553600" />
+		<layer id="2354" name="self.model.gpt_neox.layers.16.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1409767000" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -70369,7 +35790,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5013" name="Convert_449790" type="Convert" version="opset1">
+		<layer id="2355" name="Convert_636399" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70384,8 +35805,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5014" name="self.model.gpt_neox.layers.21.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1816805508" size="2560" />
+		<layer id="2356" name="self.model.gpt_neox.layers.16.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1416320600" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -70393,7 +35814,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5015" name="Convert_449793" type="Convert" version="opset1">
+		<layer id="2357" name="Convert_636402" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70408,7 +35829,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5016" name="self.model.gpt_neox.layers.21.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2358" name="self.model.gpt_neox.layers.16.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70427,8 +35848,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5017" name="self.model.gpt_neox.layers.21.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1816808068" size="5120" />
+		<layer id="2359" name="self.model.gpt_neox.layers.16.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1416323160" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -70436,7 +35857,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5018" name="self.model.gpt_neox.layers.21.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2360" name="self.model.gpt_neox.layers.16.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70455,8 +35876,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5019" name="self.model.gpt_neox.layers.21.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2361" name="__module.model.gpt_neox.layers.16.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -70470,13 +35894,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5020" name="__module.model.gpt_neox.layers.21.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2362" name="__module.model.gpt_neox.layers.16.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -70491,17 +35915,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5021" name="Constant_325406" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1816813188" size="10240" />
+		<layer id="2363" name="self.model.gpt_neox.layers.16.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1416328280" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.16.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2364" name="__module.model.gpt_neox.layers.16.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5022" name="__module.model.gpt_neox.layers.21.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2365" name="__module.model.gpt_neox.layers.16.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70510,20 +35948,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3560,3562,input.87">
+				<port id="2" precision="FP32" names="2239,2241,input.163">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5023" name="__module.model.gpt_neox.layers.21/aten::add/Add" type="Add" version="opset1">
+		<layer id="2366" name="__module.model.gpt_neox.layers.16/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70538,14 +35974,14 @@
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5024" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2367" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
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 				<port id="0" precision="I32">
@@ -70553,7 +35989,7 @@
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 			</output>
 		</layer>
-		<layer id="5025" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2368" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70573,8 +36009,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5026" name="Constant_325407" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1816823428" size="10240" />
+		<layer id="2369" name="Constant_117208" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1416333400" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -70583,7 +36019,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5027" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2370" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70605,8 +36041,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5028" name="Constant_325408" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1816833668" size="10240" />
+		<layer id="2371" name="Constant_117209" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1416343640" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -70615,7 +36051,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5029" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2372" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70630,15 +36066,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3570">
+				<port id="2" precision="FP32" names="2249">
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 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5030" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="1816843908" size="26214400" />
+		<layer id="2373" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1416353880" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -70646,7 +36082,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5031" name="Convert_449801" type="Convert" version="opset1">
+		<layer id="2374" name="Convert_292639" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70661,8 +36097,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5032" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="1843058308" size="10240" />
+		<layer id="2375" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1442568280" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -70670,7 +36106,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5033" name="Convert_449804" type="Convert" version="opset1">
+		<layer id="2376" name="Convert_292642" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70685,7 +36121,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5034" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2377" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70704,8 +36140,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5035" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="1843068548" size="20480" />
+		<layer id="2378" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1442578520" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -70713,7 +36149,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5036" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2379" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70732,8 +36168,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5037" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2380" name="__module.model.gpt_neox.layers.16.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -70747,7 +36186,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5038" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2381" name="__module.model.gpt_neox.layers.16.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70768,17 +36207,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5039" name="Constant_325409" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1843089028" size="40960" />
+		<layer id="2382" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1442599000" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5040" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2383" name="__module.model.gpt_neox.layers.16.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2384" name="__module.model.gpt_neox.layers.16.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70787,20 +36240,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3575">
+				<port id="2" precision="FP32" names="2254,input.167">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5041" name="__module.model.gpt_neox.layers.21.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="2385" name="__module.model.gpt_neox.layers.16.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70810,15 +36261,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="3576">
+				<port id="1" precision="FP32" names="2255">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5042" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1843129988" size="26214400" />
+		<layer id="2386" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="1442619480" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -70826,7 +36277,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5043" name="Convert_449812" type="Convert" version="opset1">
+		<layer id="2387" name="Convert_296936" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70841,8 +36292,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5044" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1869344388" size="2560" />
+		<layer id="2388" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1468833880" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -70850,7 +36301,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5045" name="Convert_449815" type="Convert" version="opset1">
+		<layer id="2389" name="Convert_296939" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70865,7 +36316,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5046" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2390" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70884,8 +36335,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5047" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1869346948" size="5120" />
+		<layer id="2391" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1468836440" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -70893,7 +36344,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5048" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2392" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70912,8 +36363,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5049" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2393" name="__module.model.gpt_neox.layers.16.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -70927,7 +36381,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5050" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2394" name="__module.model.gpt_neox.layers.16.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70948,17 +36402,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5051" name="Constant_325410" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1869352068" size="10240" />
+		<layer id="2395" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1468841560" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2396" name="__module.model.gpt_neox.layers.16.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5052" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2397" name="__module.model.gpt_neox.layers.16.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70967,20 +36435,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3579,input.89">
+				<port id="2" precision="FP32" names="2258,input.169">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5053" name="__module.model.gpt_neox.layers.21/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2398" name="__module.model.gpt_neox.layers.16/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70995,14 +36461,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3581,3583,hidden_states.45">
+				<port id="2" precision="FP32" names="2260,2262,input.171">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5054" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2399" name="__module.model.gpt_neox.layers.17.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -71010,7 +36476,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5055" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2400" name="__module.model.gpt_neox.layers.17.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71030,8 +36496,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5056" name="Constant_325411" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1869362308" size="10240" />
+		<layer id="2401" name="Constant_117210" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1468846680" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -71040,7 +36506,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5057" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2402" name="__module.model.gpt_neox.layers.17.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71062,8 +36528,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5058" name="Constant_325412" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1869372548" size="10240" />
+		<layer id="2403" name="Constant_117211" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1468856920" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -71072,7 +36538,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5059" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2404" name="__module.model.gpt_neox.layers.17.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71087,15 +36553,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3593">
+				<port id="2" precision="FP32" names="2272,hidden_states.35">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5060" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1869382788" size="19660800" />
+		<layer id="2405" name="self.model.gpt_neox.layers.17.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="1468867160" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -71103,7 +36569,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5061" name="Convert_449823" type="Convert" version="opset1">
+		<layer id="2406" name="Convert_503192" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71118,8 +36584,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5062" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1889043588" size="7680" />
+		<layer id="2407" name="self.model.gpt_neox.layers.17.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="1488527960" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -71127,7 +36593,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5063" name="Convert_449826" type="Convert" version="opset1">
+		<layer id="2408" name="Convert_503195" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71142,7 +36608,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5064" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2409" name="self.model.gpt_neox.layers.17.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71161,8 +36627,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5065" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1889051268" size="15360" />
+		<layer id="2410" name="self.model.gpt_neox.layers.17.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="1488535640" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -71170,7 +36636,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5066" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2411" name="self.model.gpt_neox.layers.17.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71189,8 +36655,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5067" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2412" name="__module.model.gpt_neox.layers.17.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -71204,7 +36673,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5068" name="__module.model.gpt_neox.layers.22.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2413" name="__module.model.gpt_neox.layers.17.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71225,141 +36694,628 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5069" name="Constant_325413" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1889066628" size="30720" />
+		<layer id="2414" name="self.model.gpt_neox.layers.17.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="1488551000" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.17.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2415" name="__module.model.gpt_neox.layers.17.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2416" name="__module.model.gpt_neox.layers.17.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2279">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2417" name="Constant_125454" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2418" name="__module.model.gpt_neox.layers.17.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2281">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2419" name="__module.model.gpt_neox.layers.17.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2420" name="__module.model.gpt_neox.layers.17.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2282,qkv.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2421" name="__module.model.gpt_neox.layers.17.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="2284,q.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="4" precision="FP32" names="2285,k.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="5" precision="FP32" names="2286,value_states.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2422" name="Constant_12760" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2423" name="Constant_12763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2424" name="Constant_12758" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2425" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
 					<dim>1</dim>
-					<dim>7680</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="2426" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
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+				<port id="2" precision="FP32" names="2294">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2427" name="Constant_12942" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2428" name="Constant_12944" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2429" name="Constant_12901" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2430" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2304,x2.69">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2431" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="2432" name="__module.model.gpt_neox.layers.17.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2433" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
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+				<port id="2" precision="FP32" names="2305">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+		<layer id="2434" name="Constant_12809" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2435" name="Constant_12850" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		<layer id="2436" name="Constant_12807" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2437" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_2" type="Slice" version="opset8">
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+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="4" precision="I64">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+		<layer id="2438" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat" type="Concat" version="opset1">
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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+		<layer id="2440" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add" type="Add" version="opset1">
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 		</layer>
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 		</layer>
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+		<layer id="2450" name="Constant_12778" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2451" name="Constant_12781" type="Const" version="opset1">
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 		</layer>
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+		<layer id="2452" name="Constant_12776" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+		<layer id="2453" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_4" type="Slice" version="opset8">
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 					<dim>-1</dim>
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+					<dim>1</dim>
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 			</input>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2292,k_rot.35">
 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
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 		</layer>
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-		</layer>
-		<layer id="5078" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2454" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-					<dim>4</dim>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2310">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71367,32 +37323,31 @@
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 		</layer>
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+		<layer id="2455" name="Constant_13151" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="5080" name="Constant_302120" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="2456" name="Constant_13153" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2457" name="Constant_13110" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2458" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71401,147 +37356,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2320,x2.71">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+		<layer id="2459" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.22.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5084" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2460" name="__module.model.gpt_neox.layers.17.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2461" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
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+			<output>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="2462" name="Constant_13018" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2463" name="Constant_13059" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2464" name="Constant_13016" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2465" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2315,x1.71">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="2466" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>40</dim>
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+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2323">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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 		</layer>
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-				<port id="0" precision="I64">
+		<layer id="2467" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>32</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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 					<dim>1</dim>
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+				<port id="2" precision="FP32" names="2324">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="2468" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add_1" type="Add" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2325,2329,k_embed.35,key_states.37">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5092" name="Gather_339914" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2469" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="3618">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.69">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5093" name="Constant_433210" type="Const" version="opset1">
+		<layer id="2470" name="Constant_128388" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5094" name="Constant_433203" type="Const" version="opset1">
+		<layer id="2471" name="Constant_128381" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -71549,7 +37580,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5095" name="Constant_433205" type="Const" version="opset1">
+		<layer id="2472" name="Constant_128383" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -71557,7 +37588,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5096" name="Constant_433207" type="Const" version="opset1">
+		<layer id="2473" name="Constant_128385" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -71565,7 +37596,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5097" name="Concat_433208" type="Concat" version="opset1">
+		<layer id="2474" name="Concat_128386" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -71587,7 +37618,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5098" name="Broadcast_433211" type="Broadcast" version="opset3">
+		<layer id="2475" name="Broadcast_128389" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -71604,8 +37635,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5099" name="ReadValue_417342" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.22.keypresent.22.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2476" name="ReadValue_127455" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.17.valuepresent.17.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71615,7 +37646,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.22.key">
+				<port id="1" precision="FP32" names="past_key_values.17.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71623,13 +37654,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5100" name="Constant_402022" type="Const" version="opset1">
+		<layer id="2477" name="Constant_126922" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5101" name="Gather_402023" type="Gather" version="opset8">
+		<layer id="2478" name="Gather_126923" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71652,8 +37683,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5102" name="ShapeOf_339916" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2479" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71661,171 +37692,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="5103" name="Constant_339917" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5104" name="Constant_339918" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5105" name="Gather_339919" type="Gather" version="opset8">
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-			<input>
-				<port id="0" precision="I64">
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-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" names="3620" />
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-		</layer>
-		<layer id="5106" name="Constant_337804" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="5107" name="Reshape_340949" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-		</layer>
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-			<input>
-				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
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-			<output>
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-				</port>
-			</output>
-		</layer>
-		<layer id="5109" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
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-				<port id="0" precision="I64">
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-			</output>
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-		<layer id="5110" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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-				<port id="0" precision="FP32">
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-					<dim>80</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="3627,3630,cos.89">
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 					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="5111" name="Constant_38359" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
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-					<dim>-1</dim>
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-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3633">
+				<port id="2" precision="FP32" names="value.69">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5113" name="__module.model.gpt_neox.layers.22.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2480" name="__module.model.gpt_neox.layers.17.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="FP32" names="3634,cos.91">
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 					<dim>-1</dim>
-					<dim>1</dim>
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 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
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 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3638">
+				<port id="5" precision="FP32" names="2342,attn_output.103">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71833,24 +37746,15 @@
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 			</output>
 		</layer>
-		<layer id="5115" name="Constant_302140" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2481" name="__module.model.gpt_neox.layers.17.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5116" name="Constant_302139" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			<data output_type="i64" />
+		<layer id="2482" name="__module.model.gpt_neox.layers.17.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71858,1060 +37762,1082 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
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-		</layer>
-		<layer id="5118" name="__module.model.gpt_neox.layers.22.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32" />
+				<port id="2" precision="FP32" names="2343">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="2483" name="__module.model.gpt_neox.layers.17.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3639,3644" />
+				<port id="2" precision="FP32" names="2346">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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+		<layer id="2484" name="self.model.gpt_neox.layers.17.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1488566360" size="6553600" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
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 			</output>
 		</layer>
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+		<layer id="2485" name="Convert_640696" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="U8">
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+					<dim>2560</dim>
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="3641,3642,3646,3647" />
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+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5122" name="Constant_337806" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2486" name="self.model.gpt_neox.layers.17.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1495119960" size="2560" />
 			<output>
-				<port id="0" precision="I64">
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-			<data special_zero="false" />
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+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-				<port id="0" precision="I32">
+				<port id="1" precision="FP16">
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 				</port>
 			</output>
 		</layer>
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 		</layer>
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+		<layer id="2542" name="__module.model.gpt_neox.layers.18.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
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 			</input>
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 		</layer>
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+		<layer id="2550" name="__module.model.gpt_neox.layers.18.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2393,qkv.37">
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 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>240</dim>
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 			</output>
 		</layer>
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-			<data axis="-2" />
+		<layer id="2551" name="__module.model.gpt_neox.layers.18.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>32</dim>
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+					<dim>3</dim>
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+			<output>
+				<port id="3" precision="FP32" names="2395,q.37">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="4" precision="FP32" names="2396,k.37">
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 					<dim>32</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72919,35 +38845,31 @@
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 			</output>
 		</layer>
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 			<output>
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 					<dim>1</dim>
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 		</layer>
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+		<layer id="2553" name="Constant_13471" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2554" name="Constant_13466" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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 				<port id="0" precision="FP32">
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@@ -72955,50 +38877,30 @@
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 					<dim>80</dim>
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 				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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 			</output>
 		</layer>
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@@ -73006,82 +38908,53 @@
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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+		<layer id="2557" name="Constant_13650" type="Const" version="opset1">
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+		<layer id="2559" name="Constant_13609" type="Const" version="opset1">
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+					<dim>-1</dim>
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@@ -73089,139 +38962,88 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 		</layer>
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+		<layer id="2561" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Constant" type="Const" version="opset1">
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+				<port id="0" precision="I32" />
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+		<layer id="2562" name="__module.model.gpt_neox.layers.18.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
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+		<layer id="2563" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Multiply" type="Multiply" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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 			<input>
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+					<dim>-1</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -73229,182 +39051,128 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 			</input>
 			<output>
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-					<dim>1</dim>
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-		<layer id="5222" name="__module.model.gpt_neox.layers.22.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
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 					<dim>-1</dim>
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+		<layer id="2574" name="Constant_128421" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5231" name="__module.model.gpt_neox.layers.22.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="2575" name="Concat_128422" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -73421,51 +39189,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3695">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5232" name="Maximum_316574" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2576" name="Broadcast_128425" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
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 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5233" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2577" name="ReadValue_127457" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.18.keypresent.18.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
-					<dim>-1</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.18.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="2578" name="Constant_126925" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2579" name="Gather_126926" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -73473,43 +39245,45 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
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 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="2580" name="Constant_13486" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
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 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="2581" name="Constant_13489" type="Const" version="opset1">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2582" name="Constant_13484" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64" names="3700">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5236" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2583" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -73518,530 +39292,551 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
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+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3701">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2403,k_rot.37">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-		<layer id="5238" name="__module.model.gpt_neox.layers.22.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2584" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3706">
+				<port id="2" precision="FP32" names="2421">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 2560" offset="1889097348" size="6553600" />
+		<layer id="2585" name="Constant_13859" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
-				<port id="0" precision="U8">
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="2586" name="Constant_13861" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="1" precision="FP16">
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="1895650948" size="2560" />
+		<layer id="2587" name="Constant_13818" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="U8">
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+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5242" name="Convert_449837" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="2588" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="2" precision="I64">
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 				</port>
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-		</layer>
-		<layer id="5243" name="self.model.gpt_neox.layers.22.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
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 				</port>
-				<port id="1" precision="FP16">
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+				<port id="4" precision="I64">
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-					<dim>2560</dim>
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+					<dim>32</dim>
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+					<dim>40</dim>
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 		</layer>
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-				<port id="1" precision="FP16">
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 			<output>
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-					<dim>2560</dim>
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+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5246" name="self.model.gpt_neox.layers.22.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2590" name="__module.model.gpt_neox.layers.18.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
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-					<dim>2560</dim>
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 			<output>
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-					<dim>2560</dim>
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+				<port id="1" precision="FP32" />
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 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
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-				<port id="1" precision="FP32">
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-					<dim>2560</dim>
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+				<port id="1" precision="FP32" />
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 			<output>
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 					<dim>-1</dim>
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 			<output>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 			<output>
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+		<layer id="2606" name="ReadValue_127459" type="ReadValue" version="opset6">
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+		<layer id="2607" name="Constant_126928" type="Const" version="opset1">
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 			<input>
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-					<dim>2560</dim>
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 			<output>
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+		<layer id="2609" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_5" type="Concat" version="opset1">
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 			<output>
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+		<layer id="2610" name="__module.model.gpt_neox.layers.18.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 		</layer>
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 		</layer>
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+		<layer id="2612" name="__module.model.gpt_neox.layers.18.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
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+				<port id="1" precision="I32">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="2613" name="__module.model.gpt_neox.layers.18.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
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 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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+		<layer id="2614" name="self.model.gpt_neox.layers.18.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1567365720" size="6553600" />
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 				<port id="0" precision="U8">
 					<dim>2560</dim>
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5270" name="Convert_449856" type="Convert" version="opset1">
+		<layer id="2615" name="Convert_644993" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
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+					<dim>2560</dim>
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 			<output>
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 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="1948189828" size="2560" />
+		<layer id="2616" name="self.model.gpt_neox.layers.18.attention.dense.weight/zero_point" type="Const" version="opset1">
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 				<port id="0" precision="U8">
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@@ -74049,7 +39844,7 @@
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 			</output>
 		</layer>
-		<layer id="5272" name="Convert_449859" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -74064,12 +39859,12 @@
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+		<layer id="2618" name="self.model.gpt_neox.layers.18.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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+					<dim>2560</dim>
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@@ -74079,12 +39874,12 @@
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 					<dim>2560</dim>
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 		</layer>
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+		<layer id="2619" name="self.model.gpt_neox.layers.18.attention.dense.weight/scale" type="Const" version="opset1">
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 			<output>
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@@ -74092,12 +39887,12 @@
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 		</layer>
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+		<layer id="2620" name="self.model.gpt_neox.layers.18.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>2560</dim>
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 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -74107,36 +39902,39 @@
 			<output>
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 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 		</layer>
-		<layer id="5276" name="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2621" name="__module.model.gpt_neox.layers.18.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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+					<dim>2560</dim>
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 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 		</layer>
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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@@ -74147,17 +39945,31 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 2560" offset="1948197508" size="10240" />
+		<layer id="2623" name="self.model.gpt_neox.layers.18.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1573927000" size="5120" />
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.18.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2624" name="__module.model.gpt_neox.layers.18.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
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 		</layer>
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+		<layer id="2625" name="__module.model.gpt_neox.layers.18.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -74166,20 +39978,18 @@
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 				<port id="1" precision="FP32">
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 			<output>
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 					<dim>2560</dim>
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74194,14 +40004,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3730,3732,hidden_states.47">
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 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="5281" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
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 			<data element_type="i32" shape="1" offset="129257244" size="4" />
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@@ -74209,7 +40019,7 @@
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 			</output>
 		</layer>
-		<layer id="5282" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2628" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -74229,8 +40039,8 @@
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 			</output>
 		</layer>
-		<layer id="5283" name="Constant_325421" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1948207748" size="10240" />
+		<layer id="2629" name="Constant_117216" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1573932120" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -74239,7 +40049,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5284" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2630" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74261,8 +40071,8 @@
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 			</output>
 		</layer>
-		<layer id="5285" name="Constant_325422" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1948217988" size="10240" />
+		<layer id="2631" name="Constant_117217" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1573942360" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -74271,7 +40081,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5286" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2632" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -74286,124 +40096,127 @@
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2471">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="7680, 2560" offset="1948228228" size="19660800" />
+		<layer id="2633" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1573952600" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
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+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5288" name="Convert_449867" type="Convert" version="opset1">
+		<layer id="2634" name="Convert_309827" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
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 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
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+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="7680, 1" offset="1967889028" size="7680" />
+		<layer id="2635" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1600167000" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5290" name="Convert_449870" type="Convert" version="opset1">
+		<layer id="2636" name="Convert_309830" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5291" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2637" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5292" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1967896708" size="15360" />
+		<layer id="2638" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1600177240" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5293" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2639" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
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+					<dim>10240</dim>
 					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5294" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2640" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5295" name="__module.model.gpt_neox.layers.23.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2641" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74412,7 +40225,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
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@@ -74420,1053 +40233,626 @@
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 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
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-		<layer id="5296" name="Constant_325423" type="Const" version="opset1">
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-					<dim>1</dim>
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-		<layer id="5297" name="__module.model.gpt_neox.layers.23.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
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-				<port id="1" precision="FP32">
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-				<port id="2" precision="FP32" names="3749,qkv.93">
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-					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
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 		</layer>
-		<layer id="5298" name="__module.model.gpt_neox.layers.23.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992288" size="32" />
+		<layer id="2642" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1600197720" size="20480" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5299" name="__module.model.gpt_neox.layers.23.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2643" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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-					<dim>-1</dim>
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-				<port id="1" precision="I64">
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+				<port id="0" precision="FP16">
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 			<output>
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-					<dim>-1</dim>
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-		<layer id="5300" name="Constant_302456" type="Const" version="opset1">
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-		<layer id="5302" name="Constant_302462" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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+				<port id="1" precision="FP32">
+					<dim>10240</dim>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2644" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>-1</dim>
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-				<port id="2" precision="I64">
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+				<port id="1" precision="FP32">
+					<dim>10240</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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-		<layer id="5305" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2645" name="__module.model.gpt_neox.layers.18.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3785">
+				<port id="2" precision="FP32" names="2503">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="2679" name="__module.model.gpt_neox.layers.19.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="2" precision="FP32" names="3786,sin.95">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5369" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2680" name="__module.model.gpt_neox.layers.19.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3801">
+				<port id="2" precision="FP32" names="2504,qkv.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5370" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2681" name="__module.model.gpt_neox.layers.19.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3802,3820,3830,query.141,query.143">
+				<port id="3" precision="FP32" names="2506,q.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5371" name="Constant_13599" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="3758">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5372" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="2507,k.39">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="3759,key.139">
+				<port id="5" precision="FP32" names="2508,value_states.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75474,32 +40860,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5373" name="Constant_302594" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2682" name="Constant_14176" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5374" name="Constant_302597" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="2683" name="Constant_14179" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5375" name="Constant_302600" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2684" name="Constant_14174" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5376" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2685" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75508,17 +40893,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3765,k.47">
+				<port id="5" precision="FP32" names="2512,q_rot.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75526,7 +40914,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5377" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="2686" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75543,7 +40931,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3803">
+				<port id="2" precision="FP32" names="2516">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75551,144 +40939,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5378" name="Constant_302604" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5379" name="Constant_302603" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2687" name="Constant_14358" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5380" name="__module.model.gpt_neox.layers.23.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5381" name="__module.model.gpt_neox.layers.23.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5382" name="__module.model.gpt_neox.layers.23.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3804,3809" />
-			</output>
-		</layer>
-		<layer id="5383" name="__module.model.gpt_neox.layers.23.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5384" name="__module.model.gpt_neox.layers.23.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3806,3807,3811,3812" />
-			</output>
-		</layer>
-		<layer id="5385" name="Constant_337818" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2688" name="Constant_14360" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5386" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5387" name="Constant_302602" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2689" name="Constant_14317" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5388" name="ScatterUpdate_302605" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5389" name="Constant_302608" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5390" name="Constant_302611" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="5391" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2690" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75697,17 +40972,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3813,x2.95">
+				<port id="5" precision="FP32" names="2526,x2.77">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75715,18 +40993,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5392" name="Constant_325425" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="2691" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="2692" name="__module.model.gpt_neox.layers.19.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5393" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2693" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75735,15 +41017,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3814">
+				<port id="2" precision="FP32" names="2527">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75751,24 +41028,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5394" name="Constant_302656" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2694" name="Constant_14225" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5395" name="Constant_302661" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2695" name="Constant_14266" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2696" name="Constant_14223" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5396" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2697" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75777,17 +41061,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3808">
+				<port id="5" precision="FP32" names="2521,x1.77">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75795,7 +41082,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5397" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2698" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75812,7 +41099,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3816">
+				<port id="2" precision="FP32" names="2529">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75820,7 +41107,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
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@@ -75837,7 +41124,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2530">
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 					<dim>32</dim>
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@@ -75845,7 +41132,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -75862,32 +41149,7 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75895,13 +41157,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5401" name="Constant_433249" type="Const" version="opset1">
+		<layer id="2701" name="Constant_128448" type="Const" version="opset1">
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 				<port id="0" precision="FP32" />
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 		</layer>
-		<layer id="5402" name="Constant_433242" type="Const" version="opset1">
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 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -75909,7 +41171,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5403" name="Constant_433244" type="Const" version="opset1">
+		<layer id="2703" name="Constant_128443" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -75917,7 +41179,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5404" name="Constant_433246" type="Const" version="opset1">
+		<layer id="2704" name="Constant_128445" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -75925,7 +41187,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5405" name="Concat_433247" type="Concat" version="opset1">
+		<layer id="2705" name="Concat_128446" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -75947,7 +41209,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5406" name="Broadcast_433250" type="Broadcast" version="opset3">
+		<layer id="2706" name="Broadcast_128449" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -75964,8 +41226,8 @@
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 			</output>
 		</layer>
-		<layer id="5407" name="ReadValue_417348" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.23.valuepresent.23.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2707" name="ReadValue_127461" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.19.keypresent.19.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75975,7 +41237,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.23.value">
+				<port id="1" precision="FP32" names="past_key_values.19.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75983,13 +41245,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5408" name="Constant_402031" type="Const" version="opset1">
+		<layer id="2708" name="Constant_126931" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5409" name="Gather_402032" type="Gather" version="opset8">
+		<layer id="2709" name="Gather_126932" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -76012,80 +41274,53 @@
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 			</output>
 		</layer>
-		<layer id="5410" name="Constant_302706" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="2710" name="Constant_14194" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5411" name="Constant_302709" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="2711" name="Constant_14197" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5412" name="Constant_302712" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2712" name="Constant_14192" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2713" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
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 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="5414" name="Constant_13613" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="3761">
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-				</port>
-			</output>
-		</layer>
-		<layer id="5415" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3762">
+				<port id="5" precision="FP32" names="2514,k_rot.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -76093,8 +41328,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5416" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="2714" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76104,13 +41339,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.23.value">
+				<port id="2" precision="FP32" names="2532">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -76118,86 +41353,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5417" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_11" type="Const" version="opset1">
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-					<dim>1</dim>
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-					<dim>2048</dim>
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-		</layer>
-		<layer id="5418" name="Constant_302716" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="2715" name="Constant_14567" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5419" name="Constant_302715" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="2716" name="Constant_14569" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
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-		<layer id="5421" name="Constant_340013" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5422" name="Constant_340014" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="2717" name="Constant_14526" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
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-		<layer id="5423" name="Gather_340015" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" />
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-		</layer>
-		<layer id="5424" name="Add_340016" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
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 			</output>
 		</layer>
-		<layer id="5425" name="ShapeOf_340083" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2718" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76205,222 +41385,94 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		<layer id="5427" name="Constant_340085" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-				<port id="1" precision="I64" />
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-			<output>
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 				<port id="1" precision="I64">
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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 			<output>
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-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2721" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2543">
 					<dim>-1</dim>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5441" name="Constant_302796" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2722" name="Constant_14434" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5442" name="Constant_302792" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2723" name="Constant_14475" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5443" name="Constant_302791" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2724" name="Constant_14432" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5444" name="ScatterUpdate_302797" type="ScatterUpdate" version="opset3">
+		<layer id="2725" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -76428,182 +41480,153 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5445" name="Constant_302800" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2537,x1.79">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5446" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2726" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="3841,3842">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2545">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5447" name="__module.model.gpt_neox.layers.23.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="5448" name="__module.model.gpt_neox.layers.23.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="154497612" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="3829" />
-			</output>
-		</layer>
-		<layer id="5449" name="__module.model.gpt_neox.layers.23.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="2727" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3843,causal_mask.93">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2546">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5450" name="Add_316644" type="Add" version="opset1">
+		<layer id="2728" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2547,2551,k_embed.39,key_states.41">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5451" name="ShapeOf_316645" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2729" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
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-				</port>
-			</output>
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-		<layer id="5452" name="Constant_340089" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.77">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5453" name="Constant_340090" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5454" name="Gather_340091" type="Gather" version="opset8">
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-				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="2730" name="Constant_128436" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="3827">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5455" name="Constant_268191" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2731" name="Constant_128429" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5456" name="Constant_268193" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2732" name="Constant_128431" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5457" name="Constant_268195" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2733" name="Constant_128433" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5458" name="__module.model.gpt_neox.layers.23.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="2734" name="Concat_128434" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -76620,50 +41643,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3844">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5459" name="Maximum_316646" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2735" name="Broadcast_128437" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2736" name="ReadValue_127463" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.19.valuepresent.19.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.19.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2737" name="Constant_126934" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2738" name="Gather_126935" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5460" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2739" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3846">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.77">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5461" name="__module.model.gpt_neox.layers.23.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="2740" name="__module.model.gpt_neox.layers.19.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -76690,9 +41765,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3847,3848,sdpa_result.47,tensor.93">
+				<port id="5" precision="FP32" names="2564,attn_output.115">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -76700,15 +41776,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5462" name="Constant_14054" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2741" name="__module.model.gpt_neox.layers.19.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3849">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5463" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2742" name="__module.model.gpt_neox.layers.19.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76716,12 +41792,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3850">
+				<port id="2" precision="FP32" names="2565">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -76729,16 +41805,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5464" name="__module.model.gpt_neox.layers.23.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5465" name="__module.model.gpt_neox.layers.23.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2743" name="__module.model.gpt_neox.layers.19.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76751,15 +41819,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3855">
+				<port id="2" precision="FP32" names="2568">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5466" name="self.model.gpt_neox.layers.23.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1967942788" size="6553600" />
+		<layer id="2744" name="self.model.gpt_neox.layers.19.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1646165080" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -76767,7 +41835,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5467" name="Convert_449878" type="Convert" version="opset1">
+		<layer id="2745" name="Convert_649290" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -76782,8 +41850,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5468" name="self.model.gpt_neox.layers.23.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1974496388" size="2560" />
+		<layer id="2746" name="self.model.gpt_neox.layers.19.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1652718680" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -76791,7 +41859,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5469" name="Convert_449881" type="Convert" version="opset1">
+		<layer id="2747" name="Convert_649293" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -76806,7 +41874,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5470" name="self.model.gpt_neox.layers.23.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2748" name="self.model.gpt_neox.layers.19.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -76825,8 +41893,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5471" name="self.model.gpt_neox.layers.23.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1974498948" size="5120" />
+		<layer id="2749" name="self.model.gpt_neox.layers.19.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1652721240" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -76834,7 +41902,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5472" name="self.model.gpt_neox.layers.23.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2750" name="self.model.gpt_neox.layers.19.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -76853,8 +41921,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5473" name="self.model.gpt_neox.layers.23.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2751" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -76868,13 +41939,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5474" name="__module.model.gpt_neox.layers.23.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2752" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -76889,17 +41960,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5475" name="Constant_325426" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1974504068" size="10240" />
+		<layer id="2753" name="self.model.gpt_neox.layers.19.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1652726360" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2754" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5476" name="__module.model.gpt_neox.layers.23.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2755" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -76908,20 +41993,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3858,3860,input.95">
+				<port id="2" precision="FP32" names="2572,2574,input.193">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5477" name="__module.model.gpt_neox.layers.23/aten::add/Add" type="Add" version="opset1">
+		<layer id="2756" name="__module.model.gpt_neox.layers.19/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -76936,14 +42019,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3864,attn_output.95">
+				<port id="2" precision="FP32" names="2578,input.195">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5478" name="__module.model.gpt_neox.layers.23.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2757" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -76951,7 +42034,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5479" name="__module.model.gpt_neox.layers.23.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2758" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -76971,8 +42054,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5480" name="Constant_325427" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1974514308" size="10240" />
+		<layer id="2759" name="Constant_117220" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1652731480" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -76981,7 +42064,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5481" name="__module.model.gpt_neox.layers.23.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2760" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77003,8 +42086,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5482" name="Constant_325428" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1974524548" size="10240" />
+		<layer id="2761" name="Constant_117221" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1652741720" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -77013,7 +42096,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5483" name="__module.model.gpt_neox.layers.23.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2762" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77028,15 +42111,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3868">
+				<port id="2" precision="FP32" names="2582">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5484" name="self.model.gpt_neox.layers.23.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="1974534788" size="26214400" />
+		<layer id="2763" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1652751960" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -77044,7 +42127,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5485" name="Convert_449889" type="Convert" version="opset1">
+		<layer id="2764" name="Convert_318421" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -77059,8 +42142,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5486" name="self.model.gpt_neox.layers.23.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="2000749188" size="10240" />
+		<layer id="2765" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1678966360" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -77068,7 +42151,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5487" name="Convert_449892" type="Convert" version="opset1">
+		<layer id="2766" name="Convert_318424" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -77083,7 +42166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5488" name="self.model.gpt_neox.layers.23.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2767" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -77102,8 +42185,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5489" name="self.model.gpt_neox.layers.23.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="2000759428" size="20480" />
+		<layer id="2768" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1678976600" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -77111,7 +42194,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5490" name="self.model.gpt_neox.layers.23.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2769" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -77130,8 +42213,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5491" name="self.model.gpt_neox.layers.23.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2770" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -77145,7 +42231,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5492" name="__module.model.gpt_neox.layers.23.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2771" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77166,17 +42252,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5493" name="Constant_325429" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="2000779908" size="40960" />
+		<layer id="2772" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1678997080" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2773" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5494" name="__module.model.gpt_neox.layers.23.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2774" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77185,20 +42285,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3873">
+				<port id="2" precision="FP32" names="2587,input.197">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5495" name="__module.model.gpt_neox.layers.23.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="2775" name="__module.model.gpt_neox.layers.19.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77208,15 +42306,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="3874">
+				<port id="1" precision="FP32" names="2588">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5496" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="2000820868" size="26214400" />
+		<layer id="2776" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="1679017560" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -77224,7 +42322,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5497" name="Convert_449900" type="Convert" version="opset1">
+		<layer id="2777" name="Convert_322718" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -77239,8 +42337,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5498" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2027035268" size="2560" />
+		<layer id="2778" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1705231960" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -77248,7 +42346,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5499" name="Convert_449903" type="Convert" version="opset1">
+		<layer id="2779" name="Convert_322721" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -77263,7 +42361,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5500" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2780" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -77282,8 +42380,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5501" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2027037828" size="5120" />
+		<layer id="2781" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1705234520" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -77291,7 +42389,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5502" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2782" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -77310,8 +42408,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5503" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2783" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -77325,7 +42426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5504" name="__module.model.gpt_neox.layers.23.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2784" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77346,17 +42447,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5505" name="Constant_325430" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2027042948" size="10240" />
+		<layer id="2785" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1705239640" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2786" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5506" name="__module.model.gpt_neox.layers.23.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2787" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77365,20 +42480,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3877,input.97">
+				<port id="2" precision="FP32" names="2591,input.199">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5507" name="__module.model.gpt_neox.layers.23/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2788" name="__module.model.gpt_neox.layers.19/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77393,14 +42506,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3879,3881,hidden_states.49">
+				<port id="2" precision="FP32" names="2593,2595,input.201">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5508" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2789" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -77408,7 +42521,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5509" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2790" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77428,8 +42541,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5510" name="Constant_325431" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2027053188" size="10240" />
+		<layer id="2791" name="Constant_117222" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1705244760" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -77438,7 +42551,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5511" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2792" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77460,8 +42573,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5512" name="Constant_325432" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2027063428" size="10240" />
+		<layer id="2793" name="Constant_117223" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1705255000" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -77470,7 +42583,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5513" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2794" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77485,15 +42598,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3891">
+				<port id="2" precision="FP32" names="2605,hidden_states.41">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5514" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="2027073668" size="19660800" />
+		<layer id="2795" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="1705265240" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -77501,7 +42614,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5515" name="Convert_449911" type="Convert" version="opset1">
+		<layer id="2796" name="Convert_516083" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -77516,8 +42629,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5516" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="2046734468" size="7680" />
+		<layer id="2797" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="1724926040" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -77525,7 +42638,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5517" name="Convert_449914" type="Convert" version="opset1">
+		<layer id="2798" name="Convert_516086" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -77540,7 +42653,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5518" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2799" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -77559,8 +42672,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5519" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="2046742148" size="15360" />
+		<layer id="2800" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="1724933720" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -77568,7 +42681,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5520" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2801" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -77587,8 +42700,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5521" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2802" name="__module.model.gpt_neox.layers.20.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -77602,7 +42718,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5522" name="__module.model.gpt_neox.layers.24.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2803" name="__module.model.gpt_neox.layers.20.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77623,141 +42739,628 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5523" name="Constant_325433" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="2046757508" size="30720" />
+		<layer id="2804" name="self.model.gpt_neox.layers.20.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="1724949080" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.20.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2805" name="__module.model.gpt_neox.layers.20.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2806" name="__module.model.gpt_neox.layers.20.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2612">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2807" name="Constant_125457" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2808" name="__module.model.gpt_neox.layers.20.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2614">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2809" name="__module.model.gpt_neox.layers.20.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2810" name="__module.model.gpt_neox.layers.20.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2615,qkv.41">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2811" name="__module.model.gpt_neox.layers.20.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="2617,q.41">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="4" precision="FP32" names="2618,k.41">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="5" precision="FP32" names="2619,value_states.41">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2812" name="Constant_14884" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2813" name="Constant_14887" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2814" name="Constant_14882" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2815" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice" type="Slice" version="opset8">
+			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
 					<dim>1</dim>
+				</port>
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 		</layer>
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 		</layer>
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 					<dim>-1</dim>
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+					<dim>1</dim>
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 			</input>
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-					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
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 		</layer>
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-		<layer id="5532" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2844" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
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 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -77765,32 +43368,31 @@
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 		</layer>
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+		<layer id="2845" name="Constant_15275" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2847" name="Constant_15234" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2848" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_5" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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@@ -77799,147 +43401,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+		<layer id="2850" name="__module.model.gpt_neox.layers.20.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="2856" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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 				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>-1</dim>
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 			<output>
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+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-				<port id="0" precision="I64">
+		<layer id="2857" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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 					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
-		<layer id="5545" name="Constant_340095" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="2858" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
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+				<port id="2" precision="FP32" names="2658,2662,k_embed.41,key_states.43">
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+					<dim>32</dim>
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+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="2859" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_4" type="Concat" version="opset1">
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 			<input>
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+				<port id="0" precision="FP32">
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+					<dim>32</dim>
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 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.81">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="5547" name="Constant_433262" type="Const" version="opset1">
+		<layer id="2860" name="Constant_128460" type="Const" version="opset1">
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 				<port id="0" precision="FP32" />
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 		</layer>
-		<layer id="5548" name="Constant_433255" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
@@ -77947,7 +43625,7 @@
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 			</output>
 		</layer>
-		<layer id="5549" name="Constant_433257" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
@@ -77955,7 +43633,7 @@
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 			</output>
 		</layer>
-		<layer id="5550" name="Constant_433259" type="Const" version="opset1">
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 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -77963,7 +43641,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5551" name="Concat_433260" type="Concat" version="opset1">
+		<layer id="2864" name="Concat_128458" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -77985,7 +43663,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5552" name="Broadcast_433263" type="Broadcast" version="opset3">
+		<layer id="2865" name="Broadcast_128461" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -78002,8 +43680,8 @@
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 			</output>
 		</layer>
-		<layer id="5553" name="ReadValue_417350" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.24.keypresent.24.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2866" name="ReadValue_127471" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.20.valuepresent.20.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78013,7 +43691,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.24.key">
+				<port id="1" precision="FP32" names="past_key_values.20.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78021,13 +43699,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5554" name="Constant_402034" type="Const" version="opset1">
+		<layer id="2867" name="Constant_126940" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5555" name="Gather_402035" type="Gather" version="opset8">
+		<layer id="2868" name="Gather_126941" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78050,8 +43728,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5556" name="ShapeOf_340098" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2869" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78059,171 +43737,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		<layer id="5557" name="Constant_340099" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
-			</output>
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-		<layer id="5558" name="Constant_340100" type="Const" version="opset1">
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-		<layer id="5560" name="Constant_337824" type="Const" version="opset1">
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-				<port id="0" precision="FP32">
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 					<dim>80</dim>
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 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="0" precision="FP32">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
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 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
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+				<port id="4" precision="FP32" />
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 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78231,24 +43791,15 @@
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+				<port id="2" precision="FP32" names="2726,qkv.43">
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 					<dim>32</dim>
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 		</layer>
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+		<layer id="2941" name="__module.model.gpt_neox.layers.21.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 				<port id="0" precision="FP32">
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+					<dim>32</dim>
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-				<port id="1" precision="FP32">
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 					<dim>32</dim>
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@@ -79317,35 +44890,31 @@
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+		<layer id="2942" name="Constant_15592" type="Const" version="opset1">
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-				<port id="0" precision="BOOL" names="3988">
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-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="2943" name="Constant_15595" type="Const" version="opset1">
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-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="2944" name="Constant_15590" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -79353,50 +44922,30 @@
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 					<dim>80</dim>
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 				<port id="1" precision="I64">
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-		<layer id="5648" name="Constant_340104" type="Const" version="opset1">
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-		<layer id="5649" name="Constant_340105" type="Const" version="opset1">
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="2734,q_rot.43">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5651" name="Add_340107" type="Add" version="opset1">
+		<layer id="2946" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 			<input>
 				<port id="0" precision="FP32">
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@@ -79404,82 +44953,53 @@
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 					<dim>80</dim>
 				</port>
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-				<port id="1" precision="I64">
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-		<layer id="5653" name="Constant_340175" type="Const" version="opset1">
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-		<layer id="5654" name="Constant_340176" type="Const" version="opset1">
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-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-			<output>
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-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3985,3986" />
+				<port id="2" precision="FP32" names="2738">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="5657" name="Constant_337830" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2947" name="Constant_15774" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="2948" name="Constant_15776" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
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+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5659" name="Constant_303065" type="Const" version="opset1">
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+		<layer id="2949" name="Constant_15733" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5660" name="ScatterUpdate_303068" type="ScatterUpdate" version="opset3">
+		<layer id="2950" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -79487,139 +45007,88 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2748,x2.85">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="2951" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5665" name="Constant_303073" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497588" size="24" />
+		<layer id="2952" name="__module.model.gpt_neox.layers.21.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
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+				<port id="1" precision="FP32" />
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 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2953" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2749">
 					<dim>-1</dim>
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-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2954" name="Constant_15641" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2955" name="Constant_15682" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5670" name="Constant_303142" type="Const" version="opset1">
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+		<layer id="2956" name="Constant_15639" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5671" name="ScatterUpdate_303148" type="ScatterUpdate" version="opset3">
+		<layer id="2957" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -79627,182 +45096,128 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
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-			<output>
 				<port id="4" precision="I64">
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@@ -79819,51 +45234,55 @@
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 			</input>
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 		</layer>
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+		<layer id="2966" name="Broadcast_128497" type="Broadcast" version="opset3">
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+		<layer id="2967" name="ReadValue_127473" type="ReadValue" version="opset6">
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 			</input>
 			<output>
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 		</layer>
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+		<layer id="2968" name="Constant_126943" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
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+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2969" name="Gather_126944" type="Gather" version="opset8">
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 			<input>
 				<port id="0" precision="FP32">
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@@ -79871,43 +45290,45 @@
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 					<dim>80</dim>
 				</port>
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
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-					<dim>-1</dim>
 				</port>
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+			</output>
+		</layer>
+		<layer id="2971" name="Constant_15613" type="Const" version="opset1">
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-					<dim>80</dim>
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 		</layer>
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 		</layer>
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 				<port id="0" precision="FP32">
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@@ -79916,530 +45337,551 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
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 		</layer>
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
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 			</input>
 			<output>
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 		</layer>
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-					<dim>2560</dim>
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-					<dim>2560</dim>
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 		</layer>
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 			</output>
 		</layer>
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 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5721" name="__module.model.gpt_neox.layers.24.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3002" name="__module.model.gpt_neox.layers.21.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4022">
+				<port id="2" precision="FP32" names="2787">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5722" name="__module.model.gpt_neox.layers.24.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
-			<data approximation_mode="ERF" />
+		<layer id="3003" name="__module.model.gpt_neox.layers.21.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4023">
+				<port id="2" precision="FP32" names="2790">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="5723" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="2079666308" size="26214400" />
+		<layer id="3004" name="self.model.gpt_neox.layers.21.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1803763800" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5724" name="Convert_449944" type="Convert" version="opset1">
+		<layer id="3005" name="Convert_657884" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5725" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2105880708" size="2560" />
+		<layer id="3006" name="self.model.gpt_neox.layers.21.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1810317400" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -80447,7 +45889,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5726" name="Convert_449947" type="Convert" version="opset1">
+		<layer id="3007" name="Convert_657887" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -80462,12 +45904,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5727" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3008" name="self.model.gpt_neox.layers.21.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -80477,12 +45919,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5728" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2105883268" size="5120" />
+		<layer id="3009" name="self.model.gpt_neox.layers.21.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1810319960" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -80490,12 +45932,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5729" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3010" name="self.model.gpt_neox.layers.21.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -80505,36 +45947,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5730" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3011" name="__module.model.gpt_neox.layers.21.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5731" name="__module.model.gpt_neox.layers.24.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3012" name="__module.model.gpt_neox.layers.21.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -80545,17 +45990,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5732" name="Constant_325440" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2105888388" size="10240" />
+		<layer id="3013" name="self.model.gpt_neox.layers.21.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1810325080" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3014" name="__module.model.gpt_neox.layers.21.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5733" name="__module.model.gpt_neox.layers.24.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3015" name="__module.model.gpt_neox.layers.21.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80564,20 +46023,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4026,input.101">
+				<port id="2" precision="FP32" names="2794,2796,input.213">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5734" name="__module.model.gpt_neox.layers.24/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3016" name="__module.model.gpt_neox.layers.21/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80592,14 +46049,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4028,4030,hidden_states.51">
+				<port id="2" precision="FP32" names="2800,input.215">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5735" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3017" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -80607,7 +46064,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5736" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3018" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80627,8 +46084,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5737" name="Constant_325441" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2105898628" size="10240" />
+		<layer id="3019" name="Constant_117228" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1810330200" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -80637,7 +46094,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5738" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3020" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80659,8 +46116,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5739" name="Constant_325442" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2105908868" size="10240" />
+		<layer id="3021" name="Constant_117229" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1810340440" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -80669,7 +46126,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5740" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3022" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80684,124 +46141,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4040">
+				<port id="2" precision="FP32" names="2804">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5741" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="2105919108" size="19660800" />
+		<layer id="3023" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1810350680" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5742" name="Convert_449955" type="Convert" version="opset1">
+		<layer id="3024" name="Convert_335609" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5743" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="2125579908" size="7680" />
+		<layer id="3025" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1836565080" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5744" name="Convert_449958" type="Convert" version="opset1">
+		<layer id="3026" name="Convert_335612" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5745" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3027" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5746" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="2125587588" size="15360" />
+		<layer id="3028" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1836575320" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5747" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3029" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5748" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3030" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
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 					<dim>2560</dim>
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@@ -80810,7 +46270,7 @@
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@@ -80818,1053 +46278,626 @@
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+				<port id="0" precision="FP16">
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+				<port id="1" precision="FP16">
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+					<dim>1</dim>
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 			</output>
 		</layer>
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+		<layer id="3062" name="__module.model.gpt_neox.layers.22.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
+			</rt_info>
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-				<port id="3" precision="I64">
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+				<port id="0" precision="FP16">
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-					<dim>40</dim>
+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5815" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="3063" name="__module.model.gpt_neox.layers.22.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>32</dim>
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-					<dim>40</dim>
+					<dim>7680</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4098">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="3064" name="self.model.gpt_neox.layers.22.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="1882547800" size="15360" />
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-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.attention.query_key_value.bias">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+		<layer id="3065" name="__module.model.gpt_neox.layers.22.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
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+					<dim>7680</dim>
 				</port>
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-		</layer>
-		<layer id="5818" name="__module.model.gpt_neox.layers.25.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
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 			<output>
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+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3066" name="__module.model.gpt_neox.layers.22.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>-1</dim>
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 				</port>
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-					<dim>1</dim>
+				<port id="1" precision="FP32">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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+					<dim>-1</dim>
+					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="5820" name="Constant_38380" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="3067" name="Constant_125459" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="3068" name="__module.model.gpt_neox.layers.22.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="2836">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>32</dim>
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 			</output>
 		</layer>
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-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I64" />
-			</input>
+		<layer id="3069" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="3070" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>240</dim>
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2837,qkv.45">
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 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5824" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3071" name="__module.model.gpt_neox.layers.22.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>240</dim>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4100,4118,4128,query.153,query.155">
+				<port id="3" precision="FP32" names="2839,q.45">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="5825" name="Constant_14761" type="Const" version="opset1">
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-			</output>
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-		<layer id="5826" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="2840,k.45">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="4057,key.151">
+				<port id="5" precision="FP32" names="2841,value_states.45">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81872,32 +46905,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5827" name="Constant_303296" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3072" name="Constant_16300" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5828" name="Constant_303299" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3073" name="Constant_16303" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5829" name="Constant_303302" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3074" name="Constant_16298" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5830" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3075" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81906,17 +46938,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4063,k.51">
+				<port id="5" precision="FP32" names="2845,q_rot.45">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81924,7 +46959,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5831" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="3076" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -81941,7 +46976,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4101">
+				<port id="2" precision="FP32" names="2849">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81949,144 +46984,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5832" name="Constant_303306" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5833" name="Constant_303305" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="3077" name="Constant_16482" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5834" name="__module.model.gpt_neox.layers.25.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
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-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5835" name="__module.model.gpt_neox.layers.25.attention/aten::size/Constant_7" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
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-		</layer>
-		<layer id="5836" name="__module.model.gpt_neox.layers.25.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
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-			<output>
-				<port id="3" precision="I64" names="4102,4107" />
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-		</layer>
-		<layer id="5837" name="__module.model.gpt_neox.layers.25.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" />
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-		</layer>
-		<layer id="5838" name="__module.model.gpt_neox.layers.25.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
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-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4104,4105,4109,4110" />
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-		</layer>
-		<layer id="5839" name="Constant_337838" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3078" name="Constant_16484" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-		<layer id="5841" name="Constant_303304" type="Const" version="opset1">
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+		<layer id="3079" name="Constant_16441" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3080" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82095,17 +47017,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82113,18 +47038,22 @@
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="3081" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="3082" name="__module.model.gpt_neox.layers.22.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5847" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3083" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82133,15 +47062,10 @@
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 					<dim>40</dim>
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-					<dim>1</dim>
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+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82149,24 +47073,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5848" name="Constant_303358" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3084" name="Constant_16349" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="5849" name="Constant_303363" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3085" name="Constant_16390" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3086" name="Constant_16347" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5850" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3087" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82175,17 +47106,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4106">
+				<port id="5" precision="FP32" names="2854,x1.89">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82193,7 +47127,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5851" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3088" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82210,7 +47144,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4114">
+				<port id="2" precision="FP32" names="2862">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82218,7 +47152,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5852" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3089" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82235,7 +47169,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4115">
+				<port id="2" precision="FP32" names="2863">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82243,7 +47177,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5853" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3090" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82260,32 +47194,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4116,4120">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="5854" name="__module.model.gpt_neox.layers.25.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.25.key">
+				<port id="2" precision="FP32" names="2864,2882,q_embed.45,query.89">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82293,13 +47202,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5855" name="Constant_433301" type="Const" version="opset1">
+		<layer id="3091" name="Constant_128520" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5856" name="Constant_433294" type="Const" version="opset1">
+		<layer id="3092" name="Constant_128513" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -82307,7 +47216,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5857" name="Constant_433296" type="Const" version="opset1">
+		<layer id="3093" name="Constant_128515" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -82315,7 +47224,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5858" name="Constant_433298" type="Const" version="opset1">
+		<layer id="3094" name="Constant_128517" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -82323,7 +47232,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5859" name="Concat_433299" type="Concat" version="opset1">
+		<layer id="3095" name="Concat_128518" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -82345,7 +47254,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5860" name="Broadcast_433302" type="Broadcast" version="opset3">
+		<layer id="3096" name="Broadcast_128521" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -82362,8 +47271,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5861" name="ReadValue_417356" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.25.valuepresent.25.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3097" name="ReadValue_127477" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.22.keypresent.22.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82373,7 +47282,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.25.value">
+				<port id="1" precision="FP32" names="past_key_values.22.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82381,13 +47290,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5862" name="Constant_402043" type="Const" version="opset1">
+		<layer id="3098" name="Constant_126949" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5863" name="Gather_402044" type="Gather" version="opset8">
+		<layer id="3099" name="Gather_126950" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82410,80 +47319,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5864" name="Constant_303408" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="3100" name="Constant_16318" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5865" name="Constant_303411" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="3101" name="Constant_16321" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5866" name="Constant_303414" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3102" name="Constant_16316" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5867" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3103" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="4058">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5868" name="Constant_14775" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4059">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5869" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4060">
+				<port id="5" precision="FP32" names="2847,k_rot.45">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82491,8 +47373,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5870" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="3104" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82502,13 +47384,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.25.value">
+				<port id="2" precision="FP32" names="2865">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82516,86 +47398,31 @@
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 			</output>
 		</layer>
-		<layer id="5871" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_11" type="Const" version="opset1">
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-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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-		</layer>
-		<layer id="5872" name="Constant_303418" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="3105" name="Constant_16691" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5873" name="Constant_303417" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="3106" name="Constant_16693" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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+					<dim>-1</dim>
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@@ -82826,182 +47525,153 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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+					<dim>32</dim>
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5911" name="Constant_268215" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3123" name="Constant_128505" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5912" name="__module.model.gpt_neox.layers.25.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="3124" name="Concat_128506" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -83018,50 +47688,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4142">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5913" name="Maximum_316790" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3125" name="Broadcast_128509" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5914" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3126" name="ReadValue_127479" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.22.valuepresent.22.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.22.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3127" name="Constant_126952" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3128" name="Gather_126953" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3129" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4144">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.89">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5915" name="__module.model.gpt_neox.layers.25.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3130" name="__module.model.gpt_neox.layers.22.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83088,9 +47810,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4145,4146,sdpa_result.51,tensor.101">
+				<port id="5" precision="FP32" names="2897,attn_output.133">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -83098,15 +47821,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5916" name="Constant_15216" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3131" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4147">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5917" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3132" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -83114,12 +47837,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4148">
+				<port id="2" precision="FP32" names="2898">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -83127,16 +47850,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5918" name="__module.model.gpt_neox.layers.25.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5919" name="__module.model.gpt_neox.layers.25.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3133" name="__module.model.gpt_neox.layers.22.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -83149,15 +47864,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4153">
+				<port id="2" precision="FP32" names="2901">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5920" name="self.model.gpt_neox.layers.25.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="2125633668" size="6553600" />
+		<layer id="3134" name="self.model.gpt_neox.layers.22.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1882563160" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -83165,7 +47880,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5921" name="Convert_449966" type="Convert" version="opset1">
+		<layer id="3135" name="Convert_662181" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -83180,8 +47895,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5922" name="self.model.gpt_neox.layers.25.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2132187268" size="2560" />
+		<layer id="3136" name="self.model.gpt_neox.layers.22.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1889116760" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -83189,7 +47904,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5923" name="Convert_449969" type="Convert" version="opset1">
+		<layer id="3137" name="Convert_662184" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -83204,7 +47919,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5924" name="self.model.gpt_neox.layers.25.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3138" name="self.model.gpt_neox.layers.22.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83223,8 +47938,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5925" name="self.model.gpt_neox.layers.25.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2132189828" size="5120" />
+		<layer id="3139" name="self.model.gpt_neox.layers.22.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1889119320" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -83232,7 +47947,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5926" name="self.model.gpt_neox.layers.25.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3140" name="self.model.gpt_neox.layers.22.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83251,8 +47966,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5927" name="self.model.gpt_neox.layers.25.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3141" name="__module.model.gpt_neox.layers.22.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -83266,13 +47984,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5928" name="__module.model.gpt_neox.layers.25.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3142" name="__module.model.gpt_neox.layers.22.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -83287,17 +48005,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5929" name="Constant_325446" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2132194948" size="10240" />
+		<layer id="3143" name="self.model.gpt_neox.layers.22.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1889124440" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3144" name="__module.model.gpt_neox.layers.22.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5930" name="__module.model.gpt_neox.layers.25.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3145" name="__module.model.gpt_neox.layers.22.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83306,20 +48038,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4156,4158,input.103">
+				<port id="2" precision="FP32" names="2905,2907,input.223">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5931" name="__module.model.gpt_neox.layers.25/aten::add/Add" type="Add" version="opset1">
+		<layer id="3146" name="__module.model.gpt_neox.layers.22/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83334,14 +48064,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4162,attn_output.103">
+				<port id="2" precision="FP32" names="2911,input.225">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5932" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3147" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -83349,7 +48079,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5933" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3148" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83369,8 +48099,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5934" name="Constant_325447" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2132205188" size="10240" />
+		<layer id="3149" name="Constant_117232" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1889129560" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83379,7 +48109,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5935" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3150" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83401,8 +48131,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5936" name="Constant_325448" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2132215428" size="10240" />
+		<layer id="3151" name="Constant_117233" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1889139800" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83411,7 +48141,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5937" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3152" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83426,15 +48156,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4166">
+				<port id="2" precision="FP32" names="2915">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5938" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="2132225668" size="26214400" />
+		<layer id="3153" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1889150040" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -83442,7 +48172,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5939" name="Convert_449977" type="Convert" version="opset1">
+		<layer id="3154" name="Convert_344203" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -83457,8 +48187,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5940" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="2158440068" size="10240" />
+		<layer id="3155" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1915364440" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -83466,7 +48196,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5941" name="Convert_449980" type="Convert" version="opset1">
+		<layer id="3156" name="Convert_344206" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -83481,7 +48211,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5942" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3157" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83500,8 +48230,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5943" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="2158450308" size="20480" />
+		<layer id="3158" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1915374680" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -83509,7 +48239,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5944" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3159" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83528,8 +48258,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5945" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3160" name="__module.model.gpt_neox.layers.22.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -83543,7 +48276,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5946" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3161" name="__module.model.gpt_neox.layers.22.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83564,17 +48297,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5947" name="Constant_325449" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="2158470788" size="40960" />
+		<layer id="3162" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1915395160" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3163" name="__module.model.gpt_neox.layers.22.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5948" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3164" name="__module.model.gpt_neox.layers.22.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83583,20 +48330,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4171">
+				<port id="2" precision="FP32" names="2920,input.227">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5949" name="__module.model.gpt_neox.layers.25.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3165" name="__module.model.gpt_neox.layers.22.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83606,15 +48351,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4172">
+				<port id="1" precision="FP32" names="2921">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5950" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="2158511748" size="26214400" />
+		<layer id="3166" name="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="1915415640" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -83622,7 +48367,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5951" name="Convert_449988" type="Convert" version="opset1">
+		<layer id="3167" name="Convert_348500" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -83637,8 +48382,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5952" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2184726148" size="2560" />
+		<layer id="3168" name="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1941630040" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -83646,7 +48391,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5953" name="Convert_449991" type="Convert" version="opset1">
+		<layer id="3169" name="Convert_348503" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -83661,7 +48406,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5954" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3170" name="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83680,8 +48425,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5955" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2184728708" size="5120" />
+		<layer id="3171" name="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1941632600" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -83689,7 +48434,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5956" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3172" name="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83708,8 +48453,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5957" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3173" name="__module.model.gpt_neox.layers.22.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -83723,7 +48471,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5958" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3174" name="__module.model.gpt_neox.layers.22.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83744,17 +48492,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5959" name="Constant_325450" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2184733828" size="10240" />
+		<layer id="3175" name="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1941637720" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5960" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3176" name="__module.model.gpt_neox.layers.22.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3177" name="__module.model.gpt_neox.layers.22.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83763,20 +48525,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4175,input.105">
+				<port id="2" precision="FP32" names="2924,input.229">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5961" name="__module.model.gpt_neox.layers.25/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3178" name="__module.model.gpt_neox.layers.22/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83791,14 +48551,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4177,4179,hidden_states.53">
+				<port id="2" precision="FP32" names="2926,2928,input.231">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5962" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3179" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -83806,7 +48566,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5963" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3180" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83826,8 +48586,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5964" name="Constant_325451" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2184744068" size="10240" />
+		<layer id="3181" name="Constant_117234" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1941642840" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83836,7 +48596,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5965" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3182" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83858,8 +48618,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5966" name="Constant_325452" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2184754308" size="10240" />
+		<layer id="3183" name="Constant_117235" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1941653080" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83868,7 +48628,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5967" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3184" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83883,15 +48643,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4189">
+				<port id="2" precision="FP32" names="2938,hidden_states.47">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5968" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="2184764548" size="19660800" />
+		<layer id="3185" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="1941663320" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -83899,7 +48659,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5969" name="Convert_449999" type="Convert" version="opset1">
+		<layer id="3186" name="Convert_528974" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -83914,8 +48674,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5970" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="2204425348" size="7680" />
+		<layer id="3187" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="1961324120" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -83923,7 +48683,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5971" name="Convert_450002" type="Convert" version="opset1">
+		<layer id="3188" name="Convert_528977" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -83938,7 +48698,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5972" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3189" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83957,8 +48717,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5973" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="2204433028" size="15360" />
+		<layer id="3190" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="1961331800" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -83966,7 +48726,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5974" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3191" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83985,8 +48745,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5975" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3192" name="__module.model.gpt_neox.layers.23.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -84000,7 +48763,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5976" name="__module.model.gpt_neox.layers.26.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3193" name="__module.model.gpt_neox.layers.23.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -84021,141 +48784,628 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5977" name="Constant_325453" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="2204448388" size="30720" />
+		<layer id="3194" name="self.model.gpt_neox.layers.23.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="1961347160" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.23.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3195" name="__module.model.gpt_neox.layers.23.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3196" name="__module.model.gpt_neox.layers.23.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2945">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3197" name="Constant_125460" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3198" name="__module.model.gpt_neox.layers.23.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2947">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3199" name="__module.model.gpt_neox.layers.23.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3200" name="__module.model.gpt_neox.layers.23.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I32">
+					<dim>4</dim>
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+				<port id="2" precision="FP32" names="2948,qkv.47">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3201" name="__module.model.gpt_neox.layers.23.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
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+			</input>
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+				<port id="3" precision="FP32" names="2950,q.47">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="4" precision="FP32" names="2951,k.47">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="5" precision="FP32" names="2952,value_states.47">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3202" name="Constant_17008" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3203" name="Constant_17011" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3204" name="Constant_17006" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3205" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice" type="Slice" version="opset8">
+			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
 					<dim>1</dim>
-					<dim>7680</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2956,q_rot.47">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3206" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3207" name="Constant_17190" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3208" name="Constant_17192" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3209" name="Constant_17149" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3210" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2970,x2.93">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3211" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="3212" name="__module.model.gpt_neox.layers.23.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3213" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2971">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3214" name="Constant_17057" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3215" name="Constant_17098" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3216" name="Constant_17055" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3217" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_2" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2965,x1.93">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3218" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2973">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3219" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2974">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3220" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3221" name="Constant_128544" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
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+		<layer id="3222" name="Constant_128537" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
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+		<layer id="3223" name="Constant_128539" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		<layer id="3224" name="Constant_128541" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3225" name="Concat_128542" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+					<dim>4</dim>
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+			</output>
+		</layer>
+		<layer id="3226" name="Broadcast_128545" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
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+				<port id="1" precision="I64">
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 				<port id="0" precision="FP32">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="3229" name="Gather_126956" type="Gather" version="opset8">
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 		</layer>
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+		<layer id="3230" name="Constant_17026" type="Const" version="opset1">
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+		<layer id="3231" name="Constant_17029" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3232" name="Constant_17024" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+		<layer id="3233" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_4" type="Slice" version="opset8">
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>1</dim>
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 			</input>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2958,k_rot.47">
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 					<dim>32</dim>
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 		</layer>
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-		</layer>
-		<layer id="5986" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3234" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2976">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84163,32 +49413,31 @@
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 			</output>
 		</layer>
-		<layer id="5987" name="Constant_303521" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3235" name="Constant_17399" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="5988" name="Constant_303524" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3236" name="Constant_17401" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="5989" name="Constant_303527" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3237" name="Constant_17358" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3238" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -84197,147 +49446,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+		<layer id="3239" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
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-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="3240" name="__module.model.gpt_neox.layers.23.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3241" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
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+				<port id="2" precision="FP32" names="2987">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3242" name="Constant_17266" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3243" name="Constant_17307" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3244" name="Constant_17264" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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+		<layer id="3245" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 				</port>
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2981,x1.95">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5997" name="ShapeOf_340275" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3246" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2989">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="I64">
+		<layer id="3247" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2990">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5999" name="Constant_340277" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="3248" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2991,2995,k_embed.47,key_states.49">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6000" name="Gather_340278" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3249" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4214">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.93">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6001" name="Constant_433314" type="Const" version="opset1">
+		<layer id="3250" name="Constant_128532" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6002" name="Constant_433307" type="Const" version="opset1">
+		<layer id="3251" name="Constant_128525" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -84345,7 +49670,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6003" name="Constant_433309" type="Const" version="opset1">
+		<layer id="3252" name="Constant_128527" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -84353,7 +49678,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6004" name="Constant_433311" type="Const" version="opset1">
+		<layer id="3253" name="Constant_128529" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -84361,7 +49686,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6005" name="Concat_433312" type="Concat" version="opset1">
+		<layer id="3254" name="Concat_128530" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -84383,7 +49708,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6006" name="Broadcast_433315" type="Broadcast" version="opset3">
+		<layer id="3255" name="Broadcast_128533" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -84400,8 +49725,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6007" name="ReadValue_417358" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.26.keypresent.26.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3256" name="ReadValue_127483" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.23.valuepresent.23.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -84411,7 +49736,7 @@
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 					<dim>32</dim>
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@@ -84419,13 +49744,13 @@
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 			</output>
 		</layer>
-		<layer id="6008" name="Constant_402046" type="Const" version="opset1">
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 		</layer>
-		<layer id="6009" name="Gather_402047" type="Gather" version="opset8">
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 			<input>
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@@ -84448,8 +49773,8 @@
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 			</output>
 		</layer>
-		<layer id="6010" name="ShapeOf_340280" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3259" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_5" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
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@@ -84457,171 +49782,53 @@
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-				<port id="0" precision="FP32">
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 		</layer>
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 				<port id="0" precision="FP32">
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 					<dim>32</dim>
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 					<dim>80</dim>
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+					<dim>-1</dim>
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@@ -84629,24 +49836,15 @@
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-			<data output_type="i64" />
+		<layer id="3262" name="__module.model.gpt_neox.layers.23.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -84654,1060 +49852,1082 @@
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 					<dim>80</dim>
 				</port>
-			</input>
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-				<port id="1" precision="I64">
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+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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-			<data batch_dims="0" />
+		<layer id="3263" name="__module.model.gpt_neox.layers.23.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
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 			<input>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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+					<dim>-1</dim>
+					<dim>-1</dim>
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-			<input>
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-				<port id="1" precision="I64" />
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+					<dim>2560</dim>
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+					<dim>2560</dim>
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+					<dim>2560</dim>
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+		</layer>
+		<layer id="3321" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
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 			</output>
 		</layer>
-		<layer id="6087" name="Broadcast_433328" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3322" name="__module.model.gpt_neox.layers.24.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+					<dim>2560</dim>
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 		</layer>
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+				<port id="1" precision="FP32">
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 		</layer>
-		<layer id="6089" name="Constant_402049" type="Const" version="opset1">
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+		<layer id="3324" name="self.model.gpt_neox.layers.24.attention.query_key_value.bias" type="Const" version="opset1">
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 			</output>
 		</layer>
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+		<layer id="3325" name="__module.model.gpt_neox.layers.24.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+		<layer id="3327" name="Constant_125461" type="Const" version="opset1">
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 			</input>
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 		</layer>
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+		<layer id="3330" name="__module.model.gpt_neox.layers.24.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 					<dim>32</dim>
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+					<dim>240</dim>
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 		</layer>
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-			<data axis="-2" />
+		<layer id="3331" name="__module.model.gpt_neox.layers.24.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>32</dim>
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 					<dim>80</dim>
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+				<port id="5" precision="FP32" names="3063,value_states.49">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85715,35 +50935,31 @@
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 			</output>
 		</layer>
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+		<layer id="3333" name="Constant_17719" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3334" name="Constant_17714" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -85751,50 +50967,30 @@
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 					<dim>80</dim>
 				</port>
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 				<port id="1" precision="I64">
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-		<layer id="6102" name="Constant_340286" type="Const" version="opset1">
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-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="3067,q_rot.49">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6105" name="Add_340289" type="Add" version="opset1">
+		<layer id="3336" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85802,82 +50998,53 @@
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 					<dim>80</dim>
 				</port>
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
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 			<output>
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+				<port id="2" precision="FP32" names="3071">
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+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3337" name="Constant_17898" type="Const" version="opset1">
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@@ -85885,139 +51052,88 @@
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 		</layer>
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+		<layer id="3341" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Constant" type="Const" version="opset1">
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+				<port id="0" precision="I32" />
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+		<layer id="3342" name="__module.model.gpt_neox.layers.24.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="3343" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Multiply" type="Multiply" version="opset1">
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 		</layer>
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+		<layer id="3344" name="Constant_17765" type="Const" version="opset1">
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+		<layer id="3345" name="Constant_17806" type="Const" version="opset1">
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+		<layer id="3346" name="Constant_17763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
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 				</port>
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 		</layer>
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+					<dim>-1</dim>
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@@ -86025,182 +51141,128 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 			<output>
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 		</layer>
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-		<layer id="6130" name="__module.model.gpt_neox.layers.26.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3348" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat" type="Concat" version="opset1">
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 			</output>
 		</layer>
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 					<dim>-1</dim>
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 			</input>
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 		</layer>
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 					<dim>-1</dim>
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+		<layer id="3351" name="Constant_128568" type="Const" version="opset1">
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+				<port id="0" precision="FP32" />
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+		<layer id="3352" name="Constant_128561" type="Const" version="opset1">
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+		<layer id="3353" name="Constant_128563" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3354" name="Constant_128565" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 				</port>
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 		</layer>
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 			<input>
 				<port id="0" precision="I64">
@@ -86217,51 +51279,55 @@
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 			</input>
 			<output>
-				<port id="4" precision="I64" names="4291">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6140" name="Maximum_316862" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3356" name="Broadcast_128569" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
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 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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 		</layer>
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-			<data mode="numpy" />
+		<layer id="3357" name="ReadValue_127485" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.24.keypresent.24.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="1" precision="I64">
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+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.24.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="3358" name="Constant_126961" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3359" name="Gather_126962" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -86269,43 +51335,45 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
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-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+				<port id="2" precision="I64" />
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+			<output>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="3360" name="Constant_17734" type="Const" version="opset1">
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+		<layer id="3362" name="Constant_17732" type="Const" version="opset1">
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@@ -86314,530 +51382,551 @@
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-			<data element_type="u8" shape="10240, 1" offset="2237285508" size="10240" />
+		<layer id="3383" name="Constant_128553" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="0" precision="U8">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6168" name="Convert_450024" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="3384" name="Concat_128554" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="U8">
-					<dim>10240</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP16">
-					<dim>10240</dim>
-					<dim>1</dim>
+				<port id="4" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="3385" name="Broadcast_128557" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
-				</port>
-				<port id="1" precision="FP16">
-					<dim>10240</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6170" name="self.model.gpt_neox.layers.26.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="2237295748" size="20480" />
+		<layer id="3386" name="ReadValue_127487" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.24.valuepresent.24.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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+			</input>
 			<output>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.24.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="3387" name="Constant_126964" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3388" name="Gather_126965" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP16">
-					<dim>10240</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6172" name="self.model.gpt_neox.layers.26.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="3389" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32" names="value.97">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="3390" name="__module.model.gpt_neox.layers.24.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="3119,attn_output.145">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6174" name="Constant_325459" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="2237316228" size="40960" />
+		<layer id="3391" name="__module.model.gpt_neox.layers.24.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6175" name="__module.model.gpt_neox.layers.26.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3392" name="__module.model.gpt_neox.layers.24.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>10240</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4320">
+				<port id="2" precision="FP32" names="3120">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6176" name="__module.model.gpt_neox.layers.26.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
-			<data approximation_mode="ERF" />
+		<layer id="3393" name="__module.model.gpt_neox.layers.24.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4321">
+				<port id="2" precision="FP32" names="3123">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6177" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="2237357188" size="26214400" />
+		<layer id="3394" name="self.model.gpt_neox.layers.24.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="2040161880" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6178" name="Convert_450032" type="Convert" version="opset1">
+		<layer id="3395" name="Convert_670775" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6179" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2263571588" size="2560" />
+		<layer id="3396" name="self.model.gpt_neox.layers.24.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2046715480" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -86845,7 +51934,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6180" name="Convert_450035" type="Convert" version="opset1">
+		<layer id="3397" name="Convert_670778" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -86860,12 +51949,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6181" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3398" name="self.model.gpt_neox.layers.24.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -86875,12 +51964,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6182" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2263574148" size="5120" />
+		<layer id="3399" name="self.model.gpt_neox.layers.24.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2046718040" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -86888,12 +51977,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6183" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3400" name="self.model.gpt_neox.layers.24.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -86903,36 +51992,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6184" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3401" name="__module.model.gpt_neox.layers.24.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6185" name="__module.model.gpt_neox.layers.26.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3402" name="__module.model.gpt_neox.layers.24.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -86943,17 +52035,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6186" name="Constant_325460" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2263579268" size="10240" />
+		<layer id="3403" name="self.model.gpt_neox.layers.24.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2046723160" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.24.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3404" name="__module.model.gpt_neox.layers.24.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6187" name="__module.model.gpt_neox.layers.26.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3405" name="__module.model.gpt_neox.layers.24.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -86962,20 +52068,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4324,input.109">
+				<port id="2" precision="FP32" names="3127,3129,input.243">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6188" name="__module.model.gpt_neox.layers.26/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3406" name="__module.model.gpt_neox.layers.24/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -86990,14 +52094,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4326,4328,hidden_states.55">
+				<port id="2" precision="FP32" names="3133,input.245">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6189" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3407" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -87005,7 +52109,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6190" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3408" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -87025,8 +52129,8 @@
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-			<data element_type="f32" shape="1, 1, 2560" offset="2263589508" size="10240" />
+		<layer id="3409" name="Constant_117240" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -87035,7 +52139,7 @@
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 		</layer>
-		<layer id="6192" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3410" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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@@ -87057,8 +52161,8 @@
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 		</layer>
-		<layer id="6193" name="Constant_325462" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2263599748" size="10240" />
+		<layer id="3411" name="Constant_117241" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -87067,7 +52171,7 @@
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 			</output>
 		</layer>
-		<layer id="6194" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3412" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -87082,124 +52186,127 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
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-			<data element_type="u8" shape="7680, 2560" offset="2263609988" size="19660800" />
+		<layer id="3413" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="U8">
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 		</layer>
-		<layer id="6196" name="Convert_450043" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
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 		</layer>
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-			<data element_type="u8" shape="7680, 1" offset="2283270788" size="7680" />
+		<layer id="3415" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="U8">
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+					<dim>10240</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="6198" name="Convert_450046" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
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+					<dim>10240</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="6199" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3417" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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 				<port id="1" precision="FP16">
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+					<dim>10240</dim>
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 			<output>
 				<port id="2" precision="FP16">
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+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="7680, 1" offset="2283278468" size="15360" />
+		<layer id="3418" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="2072973400" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
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 				<port id="1" precision="FP16">
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+					<dim>10240</dim>
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 			<output>
 				<port id="2" precision="FP16">
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+					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="6202" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3420" name="__module.model.gpt_neox.layers.24.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
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 		</layer>
-		<layer id="6203" name="__module.model.gpt_neox.layers.27.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3421" name="__module.model.gpt_neox.layers.24.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87208,7 +52315,7 @@
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 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
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@@ -87216,1053 +52323,626 @@
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 					<dim>-1</dim>
 					<dim>-1</dim>
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-		<layer id="6205" name="__module.model.gpt_neox.layers.27.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
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-				<port id="2" precision="FP32" names="4345,qkv.109">
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-					<dim>-1</dim>
-					<dim>7680</dim>
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 		</layer>
-		<layer id="6206" name="__module.model.gpt_neox.layers.27.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992288" size="32" />
+		<layer id="3422" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="2072993880" size="20480" />
 			<output>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="6207" name="__module.model.gpt_neox.layers.27.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3423" name="__module.model.gpt_neox.layers.24.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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-					<dim>-1</dim>
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-				<port id="1" precision="I64">
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 			<output>
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-			<output>
-				<port id="0" precision="I64">
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+		<layer id="3424" name="__module.model.gpt_neox.layers.24.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>-1</dim>
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+					<dim>10240</dim>
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 			<output>
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 					<dim>-1</dim>
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+		<layer id="3425" name="__module.model.gpt_neox.layers.24.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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 			<output>
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-		<layer id="6280" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="3173,k.51">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="4355,key.163">
+				<port id="5" precision="FP32" names="3174,value_states.51">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88270,32 +52950,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6281" name="Constant_303998" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3462" name="Constant_18424" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6282" name="Constant_304001" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3463" name="Constant_18427" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6283" name="Constant_304004" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3464" name="Constant_18422" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6284" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3465" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88304,17 +52983,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4361,k.55">
+				<port id="5" precision="FP32" names="3178,q_rot.51">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88322,7 +53004,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6285" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="3466" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88339,7 +53021,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4399">
+				<port id="2" precision="FP32" names="3182">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88347,144 +53029,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6286" name="Constant_304008" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6287" name="Constant_304007" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="3467" name="Constant_18606" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6288" name="__module.model.gpt_neox.layers.27.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6289" name="__module.model.gpt_neox.layers.27.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6290" name="__module.model.gpt_neox.layers.27.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4400,4405" />
-			</output>
-		</layer>
-		<layer id="6291" name="__module.model.gpt_neox.layers.27.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6292" name="__module.model.gpt_neox.layers.27.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4402,4403,4407,4408" />
-			</output>
-		</layer>
-		<layer id="6293" name="Constant_337858" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3468" name="Constant_18608" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6294" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6295" name="Constant_304006" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3469" name="Constant_18565" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6296" name="ScatterUpdate_304009" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6297" name="Constant_304012" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6298" name="Constant_304015" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="6299" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3470" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88493,17 +53062,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4409,x2.111">
+				<port id="5" precision="FP32" names="3192,x2.101">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88511,18 +53083,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6300" name="Constant_325465" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="3471" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="3472" name="__module.model.gpt_neox.layers.25.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6301" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3473" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88531,15 +53107,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4410">
+				<port id="2" precision="FP32" names="3193">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88547,24 +53118,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6302" name="Constant_304060" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3474" name="Constant_18473" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6303" name="Constant_304065" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3475" name="Constant_18514" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3476" name="Constant_18471" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6304" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3477" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88573,17 +53151,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4404">
+				<port id="5" precision="FP32" names="3187,x1.101">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88591,7 +53172,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6305" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3478" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88608,7 +53189,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4412">
+				<port id="2" precision="FP32" names="3195">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88616,7 +53197,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6306" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3479" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88633,7 +53214,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4413">
+				<port id="2" precision="FP32" names="3196">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88641,7 +53222,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6307" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3480" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88658,32 +53239,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4414,4418">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6308" name="__module.model.gpt_neox.layers.27.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.27.key">
+				<port id="2" precision="FP32" names="3197,3215,q_embed.51,query.101">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88691,13 +53247,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6309" name="Constant_433353" type="Const" version="opset1">
+		<layer id="3481" name="Constant_128592" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6310" name="Constant_433346" type="Const" version="opset1">
+		<layer id="3482" name="Constant_128585" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -88705,7 +53261,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6311" name="Constant_433348" type="Const" version="opset1">
+		<layer id="3483" name="Constant_128587" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -88713,7 +53269,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6312" name="Constant_433350" type="Const" version="opset1">
+		<layer id="3484" name="Constant_128589" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -88721,7 +53277,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6313" name="Concat_433351" type="Concat" version="opset1">
+		<layer id="3485" name="Concat_128590" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -88743,7 +53299,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6314" name="Broadcast_433354" type="Broadcast" version="opset3">
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@@ -88760,8 +53316,8 @@
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+		<layer id="3487" name="ReadValue_127489" type="ReadValue" version="opset6">
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@@ -88771,7 +53327,7 @@
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@@ -88779,13 +53335,13 @@
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 		</layer>
-		<layer id="6316" name="Constant_402055" type="Const" version="opset1">
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-		<layer id="6317" name="Gather_402056" type="Gather" version="opset8">
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@@ -88808,80 +53364,53 @@
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+		<layer id="3491" name="Constant_18445" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3492" name="Constant_18440" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3493" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_4" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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-					<dim>32</dim>
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+				<port id="5" precision="FP32" names="3180,k_rot.51">
 					<dim>-1</dim>
 					<dim>32</dim>
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@@ -88889,8 +53418,8 @@
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-		<layer id="6324" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="3494" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -88900,13 +53429,13 @@
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
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 					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.27.value">
+				<port id="2" precision="FP32" names="3198">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88914,86 +53443,31 @@
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-		<layer id="6326" name="Constant_304120" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="3495" name="Constant_18815" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="3496" name="Constant_18817" type="Const" version="opset1">
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-		<layer id="6330" name="Constant_340378" type="Const" version="opset1">
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+		<layer id="3497" name="Constant_18774" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 			<input>
 				<port id="0" precision="FP32">
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@@ -89001,222 +53475,94 @@
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 				<port id="0" precision="I64">
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 				<port id="1" precision="I64">
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@@ -89224,182 +53570,153 @@
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 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6353" name="Constant_304204" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3203,x1.103">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6354" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3506" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="4437,4438">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3211">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6355" name="__module.model.gpt_neox.layers.27.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="6356" name="__module.model.gpt_neox.layers.27.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="154497612" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="4425" />
-			</output>
-		</layer>
-		<layer id="6357" name="__module.model.gpt_neox.layers.27.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="3507" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4439,causal_mask.109">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3212">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6358" name="Add_316932" type="Add" version="opset1">
+		<layer id="3508" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3213,3217,k_embed.51,key_states.53">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6359" name="ShapeOf_316933" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3509" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6360" name="Constant_340453" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.101">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6361" name="Constant_340454" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6362" name="Gather_340455" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="3510" name="Constant_128580" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="4423">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6363" name="Constant_268231" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3511" name="Constant_128573" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6364" name="Constant_268233" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3512" name="Constant_128575" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6365" name="Constant_268235" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3513" name="Constant_128577" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6366" name="__module.model.gpt_neox.layers.27.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="3514" name="Concat_128578" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -89416,50 +53733,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4440">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6367" name="Maximum_316934" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3515" name="Broadcast_128581" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6368" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3516" name="ReadValue_127491" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.25.valuepresent.25.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.25.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3517" name="Constant_126970" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3518" name="Gather_126971" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3519" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4442">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.101">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6369" name="__module.model.gpt_neox.layers.27.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3520" name="__module.model.gpt_neox.layers.25.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89486,9 +53855,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4443,4444,sdpa_result.55,tensor.109">
+				<port id="5" precision="FP32" names="3230,attn_output.151">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -89496,15 +53866,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6370" name="Constant_16378" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3521" name="__module.model.gpt_neox.layers.25.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4445">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6371" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3522" name="__module.model.gpt_neox.layers.25.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -89512,12 +53882,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4446">
+				<port id="2" precision="FP32" names="3231">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -89525,16 +53895,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6372" name="__module.model.gpt_neox.layers.27.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6373" name="__module.model.gpt_neox.layers.27.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3523" name="__module.model.gpt_neox.layers.25.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -89547,15 +53909,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4451">
+				<port id="2" precision="FP32" names="3234">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6374" name="self.model.gpt_neox.layers.27.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="2283324548" size="6553600" />
+		<layer id="3524" name="self.model.gpt_neox.layers.25.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="2118961240" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -89563,7 +53925,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6375" name="Convert_450054" type="Convert" version="opset1">
+		<layer id="3525" name="Convert_675072" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -89578,8 +53940,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6376" name="self.model.gpt_neox.layers.27.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2289878148" size="2560" />
+		<layer id="3526" name="self.model.gpt_neox.layers.25.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2125514840" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -89587,7 +53949,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6377" name="Convert_450057" type="Convert" version="opset1">
+		<layer id="3527" name="Convert_675075" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -89602,7 +53964,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6378" name="self.model.gpt_neox.layers.27.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3528" name="self.model.gpt_neox.layers.25.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -89621,8 +53983,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6379" name="self.model.gpt_neox.layers.27.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2289880708" size="5120" />
+		<layer id="3529" name="self.model.gpt_neox.layers.25.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2125517400" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -89630,7 +53992,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6380" name="self.model.gpt_neox.layers.27.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3530" name="self.model.gpt_neox.layers.25.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -89649,8 +54011,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6381" name="self.model.gpt_neox.layers.27.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3531" name="__module.model.gpt_neox.layers.25.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -89664,13 +54029,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6382" name="__module.model.gpt_neox.layers.27.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3532" name="__module.model.gpt_neox.layers.25.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -89685,17 +54050,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6383" name="Constant_325466" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2289885828" size="10240" />
+		<layer id="3533" name="self.model.gpt_neox.layers.25.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2125522520" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3534" name="__module.model.gpt_neox.layers.25.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6384" name="__module.model.gpt_neox.layers.27.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3535" name="__module.model.gpt_neox.layers.25.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89704,20 +54083,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4454,4456,input.111">
+				<port id="2" precision="FP32" names="3238,3240,input.253">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6385" name="__module.model.gpt_neox.layers.27/aten::add/Add" type="Add" version="opset1">
+		<layer id="3536" name="__module.model.gpt_neox.layers.25/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89732,14 +54109,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4460,attn_output.111">
+				<port id="2" precision="FP32" names="3244,input.255">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6386" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3537" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -89747,7 +54124,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6387" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3538" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89767,8 +54144,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6388" name="Constant_325467" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2289896068" size="10240" />
+		<layer id="3539" name="Constant_117244" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2125527640" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -89777,7 +54154,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6389" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3540" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89799,8 +54176,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6390" name="Constant_325468" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2289906308" size="10240" />
+		<layer id="3541" name="Constant_117245" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2125537880" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -89809,7 +54186,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6391" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3542" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89824,15 +54201,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4464">
+				<port id="2" precision="FP32" names="3248">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6392" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="2289916548" size="26214400" />
+		<layer id="3543" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="2125548120" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -89840,7 +54217,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6393" name="Convert_450065" type="Convert" version="opset1">
+		<layer id="3544" name="Convert_369985" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -89855,8 +54232,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6394" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="2316130948" size="10240" />
+		<layer id="3545" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="2151762520" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -89864,7 +54241,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6395" name="Convert_450068" type="Convert" version="opset1">
+		<layer id="3546" name="Convert_369988" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -89879,7 +54256,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6396" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3547" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -89898,8 +54275,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6397" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="2316141188" size="20480" />
+		<layer id="3548" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="2151772760" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -89907,7 +54284,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6398" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3549" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -89926,8 +54303,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6399" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3550" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -89941,7 +54321,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6400" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3551" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89962,17 +54342,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6401" name="Constant_325469" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="2316161668" size="40960" />
+		<layer id="3552" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="2151793240" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6402" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3553" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3554" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89981,20 +54375,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4469">
+				<port id="2" precision="FP32" names="3253,input.257">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6403" name="__module.model.gpt_neox.layers.27.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3555" name="__module.model.gpt_neox.layers.25.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90004,15 +54396,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4470">
+				<port id="1" precision="FP32" names="3254">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6404" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="2316202628" size="26214400" />
+		<layer id="3556" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="2151813720" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -90020,7 +54412,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6405" name="Convert_450076" type="Convert" version="opset1">
+		<layer id="3557" name="Convert_374282" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -90035,8 +54427,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6406" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2342417028" size="2560" />
+		<layer id="3558" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2178028120" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -90044,7 +54436,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6407" name="Convert_450079" type="Convert" version="opset1">
+		<layer id="3559" name="Convert_374285" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -90059,7 +54451,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6408" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3560" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -90078,8 +54470,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6409" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2342419588" size="5120" />
+		<layer id="3561" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2178030680" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -90087,7 +54479,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6410" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3562" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -90106,8 +54498,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6411" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3563" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -90121,7 +54516,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6412" name="__module.model.gpt_neox.layers.27.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3564" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90142,17 +54537,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6413" name="Constant_325470" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2342424708" size="10240" />
+		<layer id="3565" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2178035800" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3566" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6414" name="__module.model.gpt_neox.layers.27.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3567" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -90161,20 +54570,18 @@
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 				<port id="1" precision="FP32">
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="6415" name="__module.model.gpt_neox.layers.27/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3568" name="__module.model.gpt_neox.layers.25/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90189,14 +54596,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4475,4477,hidden_states.57">
+				<port id="2" precision="FP32" names="3259,3261,input.261">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="6416" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3569" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -90204,7 +54611,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6417" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3570" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90224,8 +54631,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6418" name="Constant_325471" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2342434948" size="10240" />
+		<layer id="3571" name="Constant_117246" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2178040920" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -90234,7 +54641,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6419" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3572" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90256,8 +54663,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6420" name="Constant_325472" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2342445188" size="10240" />
+		<layer id="3573" name="Constant_117247" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2178051160" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -90266,7 +54673,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6421" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3574" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90281,15 +54688,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4487">
+				<port id="2" precision="FP32" names="3271,hidden_states.53">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="7680, 2560" offset="2342455428" size="19660800" />
+		<layer id="3575" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="2178061400" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -90297,7 +54704,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6423" name="Convert_450087" type="Convert" version="opset1">
+		<layer id="3576" name="Convert_541865" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -90312,8 +54719,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6424" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="2362116228" size="7680" />
+		<layer id="3577" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="2197722200" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -90321,7 +54728,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6425" name="Convert_450090" type="Convert" version="opset1">
+		<layer id="3578" name="Convert_541868" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -90336,7 +54743,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6426" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3579" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -90355,8 +54762,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6427" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="2362123908" size="15360" />
+		<layer id="3580" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="2197729880" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -90364,7 +54771,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6428" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3581" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -90383,8 +54790,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6429" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3582" name="__module.model.gpt_neox.layers.26.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -90398,7 +54808,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6430" name="__module.model.gpt_neox.layers.28.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3583" name="__module.model.gpt_neox.layers.26.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90419,141 +54829,628 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6431" name="Constant_325473" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="2362139268" size="30720" />
+		<layer id="3584" name="self.model.gpt_neox.layers.26.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="2197745240" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.26.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3585" name="__module.model.gpt_neox.layers.26.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3586" name="__module.model.gpt_neox.layers.26.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3278">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3587" name="Constant_125463" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3588" name="__module.model.gpt_neox.layers.26.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3280">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3589" name="__module.model.gpt_neox.layers.26.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3590" name="__module.model.gpt_neox.layers.26.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3281,qkv.53">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3591" name="__module.model.gpt_neox.layers.26.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="3283,q.53">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="4" precision="FP32" names="3284,k.53">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="5" precision="FP32" names="3285,value_states.53">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3592" name="Constant_19132" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3593" name="Constant_19135" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3594" name="Constant_19130" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3595" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice" type="Slice" version="opset8">
+			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
 					<dim>1</dim>
-					<dim>7680</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3289,q_rot.53">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3596" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="2" precision="FP32" names="3293">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3597" name="Constant_19314" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3598" name="Constant_19316" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3599" name="Constant_19273" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3600" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
+					<dim>1</dim>
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+			<output>
+				<port id="5" precision="FP32" names="3303,x2.105">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+			</output>
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+		<layer id="3601" name="__module.model.gpt_neox.layers.26.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="3602" name="__module.model.gpt_neox.layers.26.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3603" name="__module.model.gpt_neox.layers.26.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
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+				<port id="2" precision="FP32" names="3304">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="0" precision="I64">
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+		<layer id="3605" name="Constant_19222" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
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+		<layer id="3606" name="Constant_19179" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="3607" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_2" type="Slice" version="opset8">
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+				<port id="0" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="3608" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
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+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3609" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3610" name="__module.model.gpt_neox.layers.26.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+					<dim>80</dim>
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+		<layer id="3611" name="Constant_128616" type="Const" version="opset1">
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+				<port id="0" precision="FP32" />
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+				<port id="0" precision="I64">
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+			</output>
+		</layer>
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+			<data element_type="i64" shape="1" offset="4" size="8" />
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+				<port id="0" precision="I64">
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+			</output>
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+		<layer id="3614" name="Constant_128613" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="3615" name="Concat_128614" type="Concat" version="opset1">
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+			</output>
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+		<layer id="3616" name="Broadcast_128617" type="Broadcast" version="opset3">
+			<data mode="numpy" />
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+				<port id="0" precision="FP32" />
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 		</layer>
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+		<layer id="3617" name="ReadValue_127493" type="ReadValue" version="opset6">
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 		</layer>
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+		<layer id="3618" name="Constant_126973" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64" />
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 		</layer>
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+		<layer id="3619" name="Gather_126974" type="Gather" version="opset8">
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 				<port id="0" precision="FP32">
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 			</input>
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 		</layer>
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+		<layer id="3620" name="Constant_19150" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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+		<layer id="3621" name="Constant_19153" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3622" name="Constant_19148" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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+		<layer id="3623" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_4" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 				<port id="2" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="3291,k_rot.53">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-		</layer>
-		<layer id="6440" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3624" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3309">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -90561,32 +55458,31 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3625" name="Constant_19523" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6442" name="Constant_304226" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3626" name="Constant_19525" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6443" name="Constant_304229" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3627" name="Constant_19482" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3628" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -90595,147 +55491,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3319,x2.107">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+		<layer id="3629" name="__module.model.gpt_neox.layers.26.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.28.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="6446" name="__module.model.gpt_neox.layers.28.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="3630" name="__module.model.gpt_neox.layers.26.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3631" name="__module.model.gpt_neox.layers.26.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
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+			<output>
+				<port id="2" precision="FP32" names="3320">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3632" name="Constant_19390" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3633" name="Constant_19431" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3634" name="Constant_19388" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="3635" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 		</layer>
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+					<dim>-1</dim>
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+					<dim>-1</dim>
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-				<port id="0" precision="I64">
+		<layer id="3637" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 					<dim>1</dim>
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+				<port id="2" precision="FP32" names="3323">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
-		<layer id="6453" name="Constant_340459" type="Const" version="opset1">
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+		<layer id="3638" name="__module.model.gpt_neox.layers.26.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
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+				<port id="2" precision="FP32" names="3324,3328,k_embed.53,key_states.55">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="3639" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_4" type="Concat" version="opset1">
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.105">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="6455" name="Constant_433366" type="Const" version="opset1">
+		<layer id="3640" name="Constant_128604" type="Const" version="opset1">
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 				<port id="0" precision="FP32" />
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 		</layer>
-		<layer id="6456" name="Constant_433359" type="Const" version="opset1">
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 				<port id="0" precision="I64">
@@ -90743,7 +55715,7 @@
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 			</output>
 		</layer>
-		<layer id="6457" name="Constant_433361" type="Const" version="opset1">
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 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -90751,7 +55723,7 @@
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 			</output>
 		</layer>
-		<layer id="6458" name="Constant_433363" type="Const" version="opset1">
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 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -90759,7 +55731,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6459" name="Concat_433364" type="Concat" version="opset1">
+		<layer id="3644" name="Concat_128602" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -90781,7 +55753,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6460" name="Broadcast_433367" type="Broadcast" version="opset3">
+		<layer id="3645" name="Broadcast_128605" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -90798,8 +55770,8 @@
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 			</output>
 		</layer>
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-			<data variable_id="past_key_values.28.keypresent.28.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3646" name="ReadValue_127495" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.26.valuepresent.26.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -90809,7 +55781,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.28.key">
+				<port id="1" precision="FP32" names="past_key_values.26.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -90817,13 +55789,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6462" name="Constant_402058" type="Const" version="opset1">
+		<layer id="3647" name="Constant_126976" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6463" name="Gather_402059" type="Gather" version="opset8">
+		<layer id="3648" name="Gather_126977" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90846,8 +55818,8 @@
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 			</output>
 		</layer>
-		<layer id="6464" name="ShapeOf_340462" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3649" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -90855,171 +55827,53 @@
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 					<dim>80</dim>
 				</port>
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-		<layer id="6466" name="Constant_340464" type="Const" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>80</dim>
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 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>80</dim>
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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-				<port id="0" precision="FP32">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
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 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91027,24 +55881,15 @@
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992320" size="32" />
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-			<data output_type="i64" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91052,1060 +55897,1082 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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-			<data element_type="i32" shape="" offset="0" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32" />
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="3653" name="__module.model.gpt_neox.layers.26.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
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 			<input>
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-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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+					<dim>3</dim>
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 			<output>
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+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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+		<layer id="3654" name="self.model.gpt_neox.layers.26.attention.dense.weight" type="Const" version="opset1">
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+					<dim>2560</dim>
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 		</layer>
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+		<layer id="3655" name="Convert_679369" type="Convert" version="opset1">
+			<data destination_type="f16" />
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+				<port id="0" precision="U8">
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+					<dim>2560</dim>
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 					<dim>-1</dim>
@@ -92113,35 +56980,31 @@
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 			</output>
 		</layer>
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-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="3722" name="Constant_19840" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="4584">
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+				<port id="0" precision="I64">
 					<dim>1</dim>
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-					<dim>2048</dim>
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 		</layer>
-		<layer id="6553" name="Constant_304471" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="3723" name="Constant_19843" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6554" name="Constant_304470" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="3724" name="Constant_19838" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="6555" name="ShapeOf_340467" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3725" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92149,50 +57012,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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-		<layer id="6556" name="Constant_340468" type="Const" version="opset1">
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-		<layer id="6557" name="Constant_340469" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="3400,q_rot.55">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6559" name="Add_340471" type="Add" version="opset1">
+		<layer id="3726" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
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-				<port id="1" precision="I64" />
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-			<output>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92200,82 +57043,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-		</layer>
-		<layer id="6561" name="Constant_340539" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="6562" name="Constant_340540" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6563" name="Gather_340541" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-				<port id="2" precision="I64" />
-			</input>
-			<output>
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-			</output>
-		</layer>
-		<layer id="6564" name="__module.model.gpt_neox.layers.28.attention/aten::sub/Subtract" type="Subtract" version="opset1">
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-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="4581,4582" />
+				<port id="2" precision="FP32" names="3404">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6565" name="Constant_337870" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3727" name="Constant_20022" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="3728" name="Constant_20024" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6567" name="Constant_304469" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3729" name="Constant_19981" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6568" name="ScatterUpdate_304472" type="ScatterUpdate" version="opset3">
+		<layer id="3730" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -92283,139 +57097,88 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<output>
 				<port id="4" precision="I64">
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-				<port id="0" precision="I64">
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-		</layer>
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-				<port id="0" precision="I64">
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="3414,x2.109">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64">
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-				<port id="2" precision="I64">
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-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="3731" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="6573" name="Constant_304477" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497588" size="24" />
+		<layer id="3732" name="__module.model.gpt_neox.layers.27.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3733" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>1</dim>
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-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3415">
 					<dim>-1</dim>
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-		</layer>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6576" name="Constant_304551" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3734" name="Constant_19889" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="3735" name="Constant_19930" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3736" name="Constant_19887" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6579" name="ScatterUpdate_304552" type="ScatterUpdate" version="opset3">
+		<layer id="3737" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -92423,182 +57186,128 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
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-		<layer id="6580" name="Constant_304555" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-				<port id="0" precision="BOOL">
-					<dim>1</dim>
 					<dim>1</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="4586,4587">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="3409,x1.109">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32" />
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-			<output>
-				<port id="0" precision="FP32" names="4574" />
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-		</layer>
-		<layer id="6584" name="__module.model.gpt_neox.layers.28.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3738" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
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 			<output>
-				<port id="3" precision="FP32" names="4588,causal_mask.113">
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3417">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6585" name="Add_317004" type="Add" version="opset1">
+		<layer id="3739" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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+					<dim>80</dim>
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 		</layer>
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+		<layer id="3741" name="Constant_128640" type="Const" version="opset1">
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+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3742" name="Constant_128633" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3743" name="Constant_128635" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3744" name="Constant_128637" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6593" name="__module.model.gpt_neox.layers.28.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="3745" name="Concat_128638" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -92615,51 +57324,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4589">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6594" name="Maximum_317006" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3746" name="Broadcast_128641" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
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 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="6595" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3747" name="ReadValue_127497" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.27.keypresent.27.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4591">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.27.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="3748" name="Constant_126979" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3749" name="Gather_126980" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92667,43 +57380,45 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
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 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+				<port id="2" precision="I64" />
+			</input>
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+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="3750" name="Constant_19858" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
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 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3751" name="Constant_19861" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6597" name="Constant_16959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3752" name="Constant_19856" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I64" names="4594">
-					<dim>4</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6598" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3753" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92712,530 +57427,551 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="3402,k_rot.55">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="3754" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3420">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="u8" shape="2560, 2560" offset="2362169988" size="6553600" />
+		<layer id="3755" name="Constant_20231" type="Const" version="opset1">
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 			<output>
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="3756" name="Constant_20233" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="1" precision="FP16">
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
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 				</port>
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 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="2368723588" size="2560" />
+		<layer id="3757" name="Constant_20190" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6604" name="Convert_450101" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="3758" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
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 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="2" precision="I64">
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 				</port>
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-		</layer>
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
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 				</port>
-				<port id="1" precision="FP16">
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 					<dim>1</dim>
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 			<output>
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-					<dim>2560</dim>
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+					<dim>32</dim>
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 		</layer>
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 			<output>
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-					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6608" name="self.model.gpt_neox.layers.28.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<input>
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-					<dim>2560</dim>
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 			<output>
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-					<dim>2560</dim>
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-				<port id="1" precision="FP32">
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-					<dim>2560</dim>
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+				<port id="1" precision="FP32" />
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 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			<output>
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+				<port id="0" precision="I64">
 					<dim>1</dim>
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+				<port id="0" precision="I64">
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+		<layer id="3765" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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@@ -93243,7 +57979,7 @@
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@@ -93258,12 +57994,12 @@
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 			</output>
 		</layer>
-		<layer id="6635" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3788" name="self.model.gpt_neox.layers.27.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -93273,12 +58009,12 @@
 			<output>
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 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 		</layer>
-		<layer id="6636" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2421265028" size="5120" />
+		<layer id="3789" name="self.model.gpt_neox.layers.27.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2283116120" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -93286,12 +58022,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6637" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3790" name="self.model.gpt_neox.layers.27.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -93301,36 +58037,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6638" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3791" name="__module.model.gpt_neox.layers.27.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 		</layer>
-		<layer id="6639" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3792" name="__module.model.gpt_neox.layers.27.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -93341,17 +58080,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6640" name="Constant_325480" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2421270148" size="10240" />
+		<layer id="3793" name="self.model.gpt_neox.layers.27.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2283121240" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.27.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3794" name="__module.model.gpt_neox.layers.27.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6641" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3795" name="__module.model.gpt_neox.layers.27.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93360,20 +58113,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4622,input.117">
+				<port id="2" precision="FP32" names="3460,3462,input.273">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6642" name="__module.model.gpt_neox.layers.28/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3796" name="__module.model.gpt_neox.layers.27/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93388,14 +58139,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4624,4626,hidden_states.59">
+				<port id="2" precision="FP32" names="3466,input.275">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6643" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3797" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -93403,7 +58154,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6644" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3798" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93423,8 +58174,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6645" name="Constant_325481" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2421280388" size="10240" />
+		<layer id="3799" name="Constant_117252" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2283126360" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -93433,7 +58184,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6646" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3800" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93455,8 +58206,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6647" name="Constant_325482" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2421290628" size="10240" />
+		<layer id="3801" name="Constant_117253" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2283136600" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -93465,7 +58216,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6648" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3802" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93480,124 +58231,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4636">
+				<port id="2" precision="FP32" names="3470">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6649" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="2421300868" size="19660800" />
+		<layer id="3803" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="2283146840" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6650" name="Convert_450131" type="Convert" version="opset1">
+		<layer id="3804" name="Convert_387173" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6651" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="2440961668" size="7680" />
+		<layer id="3805" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="2309361240" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6652" name="Convert_450134" type="Convert" version="opset1">
+		<layer id="3806" name="Convert_387176" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6653" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3807" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6654" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="2440969348" size="15360" />
+		<layer id="3808" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="2309371480" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6655" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3809" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6656" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3810" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6657" name="__module.model.gpt_neox.layers.29.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3811" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93606,7 +58360,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -93614,756 +58368,658 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6658" name="Constant_325483" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="2440984708" size="30720" />
+		<layer id="3812" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="2309391960" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3813" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6659" name="__module.model.gpt_neox.layers.29.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3814" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4643,qkv.117">
+				<port id="2" precision="FP32" names="3475,input.277">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6660" name="__module.model.gpt_neox.layers.29.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992288" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6661" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3815" name="__module.model.gpt_neox.layers.27.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4647,qkv.119">
+				<port id="1" precision="FP32" names="3476">
 					<dim>-1</dim>
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3854" name="Constant_20546" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 				<port id="0" precision="FP32">
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@@ -94372,78 +59028,77 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
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-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6719" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="3856" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4692">
+				<port id="2" precision="FP32" names="3515">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6720" name="Constant_304649" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3857" name="Constant_20730" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6721" name="Constant_304654" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3858" name="Constant_20732" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3859" name="Constant_20689" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6722" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3860" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94452,17 +59107,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4686">
+				<port id="5" precision="FP32" names="3525,x2.113">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94470,8 +59128,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6723" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="3861" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="3862" name="__module.model.gpt_neox.layers.28.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3863" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94479,52 +59152,47 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4694">
+				<port id="2" precision="FP32" names="3526">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6724" name="self.model.gpt_neox.layers.29.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="3864" name="Constant_20597" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.29.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6725" name="__module.model.gpt_neox.layers.29.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="3865" name="Constant_20638" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6726" name="__module.model.gpt_neox.layers.29.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3866" name="Constant_20595" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6727" name="__module.model.gpt_neox.layers.29.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3867" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -94536,60 +59204,45 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4671,4674,sin.117">
+				<port id="5" precision="FP32" names="3520,x1.113">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6728" name="Constant_38404" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6729" name="__module.model.gpt_neox.layers.29.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3868" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="4679">
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6730" name="__module.model.gpt_neox.layers.29.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4680,sin.119">
+				<port id="2" precision="FP32" names="3528">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6731" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3869" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94606,7 +59259,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4695">
+				<port id="2" precision="FP32" names="3529">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94614,7 +59267,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6732" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add" type="Add" version="opset1">
+		<layer id="3870" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94631,7 +59284,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4696,4714,4724,query.177,query.179">
+				<port id="2" precision="FP32" names="3530,3548,q_embed.57,query.113">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94639,105 +59292,87 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6733" name="Constant_17085" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4652">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6734" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="3871" name="Constant_128664" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="2" precision="FP32" names="4653,key.175">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6735" name="Constant_304700" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3872" name="Constant_128657" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6736" name="Constant_304703" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3873" name="Constant_128659" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6737" name="Constant_304706" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3874" name="Constant_128661" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6738" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3875" name="Concat_128662" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3876" name="Broadcast_128665" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4659,k.59">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6739" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3877" name="ReadValue_127501" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.28.keypresent.28.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4697">
+				<port id="1" precision="FP32" names="past_key_values.28.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94745,24 +59380,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6740" name="Constant_304710" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6741" name="Constant_304709" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="3878" name="Constant_126985" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6742" name="__module.model.gpt_neox.layers.29.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3879" name="Gather_126986" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94770,119 +59395,124 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6743" name="__module.model.gpt_neox.layers.29.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="3880" name="Constant_20566" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6744" name="__module.model.gpt_neox.layers.29.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4698,4703" />
-			</output>
-		</layer>
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-				<port id="1" precision="I64" />
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-			<output>
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 			</output>
 		</layer>
-		<layer id="6746" name="__module.model.gpt_neox.layers.29.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="3881" name="Constant_20569" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
-				<port id="1" precision="I64" names="4700,4701,4705,4706" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6747" name="Constant_337878" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3882" name="Constant_20564" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="3883" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
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 				</port>
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-		<layer id="6749" name="Constant_304708" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3513,k_rot.57">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6750" name="ScatterUpdate_304711" type="ScatterUpdate" version="opset3">
+		<layer id="3884" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3531">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6751" name="Constant_304714" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="3885" name="Constant_20939" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6752" name="Constant_304717" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3886" name="Constant_20941" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6753" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3887" name="Constant_20898" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3888" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94891,17 +59521,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4707,x2.119">
+				<port id="5" precision="FP32" names="3541,x2.115">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94909,35 +59542,34 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6754" name="Constant_325485" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="3889" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="3890" name="__module.model.gpt_neox.layers.28.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6755" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3891" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>32</dim>
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-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4708">
+				<port id="2" precision="FP32" names="3542">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94945,24 +59577,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6756" name="Constant_304762" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3892" name="Constant_20806" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6757" name="Constant_304767" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3893" name="Constant_20847" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3894" name="Constant_20804" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6758" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3895" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94971,17 +59610,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4702">
+				<port id="5" precision="FP32" names="3536,x1.115">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94989,7 +59631,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6759" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3896" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95006,7 +59648,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4710">
+				<port id="2" precision="FP32" names="3544">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95014,7 +59656,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6760" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3897" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95031,7 +59673,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4711">
+				<port id="2" precision="FP32" names="3545">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95039,7 +59681,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6761" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3898" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95056,7 +59698,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4712,4716">
+				<port id="2" precision="FP32" names="3546,3550,k_embed.57,key_states.59">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95064,7 +59706,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6762" name="__module.model.gpt_neox.layers.29.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="3899" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95081,7 +59723,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.29.key">
+				<port id="2" precision="FP32" names="key.113">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95089,13 +59731,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6763" name="Constant_433405" type="Const" version="opset1">
+		<layer id="3900" name="Constant_128652" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6764" name="Constant_433398" type="Const" version="opset1">
+		<layer id="3901" name="Constant_128645" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -95103,7 +59745,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6765" name="Constant_433400" type="Const" version="opset1">
+		<layer id="3902" name="Constant_128647" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -95111,7 +59753,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6766" name="Constant_433402" type="Const" version="opset1">
+		<layer id="3903" name="Constant_128649" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -95119,7 +59761,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6767" name="Concat_433403" type="Concat" version="opset1">
+		<layer id="3904" name="Concat_128650" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -95141,7 +59783,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6768" name="Broadcast_433406" type="Broadcast" version="opset3">
+		<layer id="3905" name="Broadcast_128653" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -95158,8 +59800,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6769" name="ReadValue_417372" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.29.valuepresent.29.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3906" name="ReadValue_127503" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.28.valuepresent.28.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -95169,7 +59811,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.29.value">
+				<port id="1" precision="FP32" names="past_key_values.28.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95177,13 +59819,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6770" name="Constant_402067" type="Const" version="opset1">
+		<layer id="3907" name="Constant_126988" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6771" name="Gather_402068" type="Gather" version="opset8">
+		<layer id="3908" name="Gather_126989" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95206,80 +59848,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6772" name="Constant_304812" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6773" name="Constant_304815" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6774" name="Constant_304818" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6775" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3909" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="4654">
 					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="6776" name="Constant_17099" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4655">
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 					<dim>80</dim>
 				</port>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="value.113">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95287,8 +59873,8 @@
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 			</output>
 		</layer>
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+		<layer id="3910" name="__module.model.gpt_neox.layers.28.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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@@ -95302,45 +59888,38 @@
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 					<dim>80</dim>
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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+				<port id="4" precision="FP32" />
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+					<dim>-1</dim>
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 		</layer>
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+		<layer id="3911" name="__module.model.gpt_neox.layers.28.attention/aten::transpose/Constant_1" type="Const" version="opset1">
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 			<output>
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 			</output>
 		</layer>
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+		<layer id="3912" name="__module.model.gpt_neox.layers.28.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -95348,636 +59927,553 @@
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 					<dim>80</dim>
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+					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="3913" name="__module.model.gpt_neox.layers.28.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
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 					<dim>-1</dim>
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-			<output>
 				<port id="1" precision="I64">
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-		<layer id="6788" name="Constant_340630" type="Const" version="opset1">
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+			</input>
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 		</layer>
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+					<dim>2560</dim>
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 		</layer>
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 			<output>
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 		</layer>
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+		<layer id="3937" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
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 			</input>
 			<output>
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+					<dim>2560</dim>
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+			</output>
+		</layer>
+		<layer id="3938" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="2388170840" size="20480" />
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
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 			<output>
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 			</output>
 		</layer>
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-			<data mode="numpy" />
+		<layer id="3940" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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 			<input>
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 			</output>
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+		<layer id="3941" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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+					<dim>2560</dim>
 				</port>
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 					<dim>-1</dim>
+					<dim>10240</dim>
 				</port>
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+			</output>
+		</layer>
+		<layer id="3942" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
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-					<dim>80</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3943" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<output>
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 				</port>
 			</output>
 		</layer>
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+		<layer id="3944" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>-1</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="3945" name="__module.model.gpt_neox.layers.28.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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 					<dim>-1</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="3946" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="2388211800" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="6829" name="Convert_450142" type="Convert" version="opset1">
+		<layer id="3947" name="Convert_400064" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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+					<dim>10240</dim>
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 			</output>
 		</layer>
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+		<layer id="3948" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2414426200" size="2560" />
 			<output>
 				<port id="0" precision="U8">
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@@ -95985,7 +60481,7 @@
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 			</output>
 		</layer>
-		<layer id="6831" name="Convert_450145" type="Convert" version="opset1">
+		<layer id="3949" name="Convert_400067" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -96000,12 +60496,12 @@
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 		</layer>
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+		<layer id="3950" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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 				<port id="1" precision="FP16">
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@@ -96015,12 +60511,12 @@
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 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="6833" name="self.model.gpt_neox.layers.29.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2447571588" size="5120" />
+		<layer id="3951" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2414428760" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -96028,12 +60524,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6834" name="self.model.gpt_neox.layers.29.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3952" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -96043,36 +60539,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6835" name="self.model.gpt_neox.layers.29.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3953" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6836" name="__module.model.gpt_neox.layers.29.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3954" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
@@ -96083,17 +60582,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6837" name="Constant_325486" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2447576708" size="10240" />
+		<layer id="3955" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2414433880" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3956" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6838" name="__module.model.gpt_neox.layers.29.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3957" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96102,20 +60615,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4752,4754,input.119">
+				<port id="2" precision="FP32" names="3590,input.289">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6839" name="__module.model.gpt_neox.layers.29/aten::add/Add" type="Add" version="opset1">
+		<layer id="3958" name="__module.model.gpt_neox.layers.28/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96130,14 +60641,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4758,attn_output.119">
+				<port id="2" precision="FP32" names="3592,3594,input.291">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6840" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3959" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -96145,7 +60656,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6841" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3960" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96165,8 +60676,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6842" name="Constant_325487" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2447586948" size="10240" />
+		<layer id="3961" name="Constant_117258" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2414439000" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -96175,7 +60686,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6843" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3962" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96197,8 +60708,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6844" name="Constant_325488" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2447597188" size="10240" />
+		<layer id="3963" name="Constant_117259" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2414449240" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -96207,7 +60718,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6845" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3964" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96222,124 +60733,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4762">
+				<port id="2" precision="FP32" names="3604,hidden_states.59">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6846" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="2447607428" size="26214400" />
+		<layer id="3965" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="2414459480" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6847" name="Convert_450153" type="Convert" version="opset1">
+		<layer id="3966" name="Convert_554756" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6848" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="2473821828" size="10240" />
+		<layer id="3967" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="2434120280" size="7680" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6849" name="Convert_450156" type="Convert" version="opset1">
+		<layer id="3968" name="Convert_554759" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6850" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3969" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6851" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="2473832068" size="20480" />
+		<layer id="3970" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="2434127960" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6852" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3971" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6853" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3972" name="__module.model.gpt_neox.layers.29.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6854" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3973" name="__module.model.gpt_neox.layers.29.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96348,7 +60862,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -96356,602 +60870,963 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3974" name="self.model.gpt_neox.layers.29.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="2434143320" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.29.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3975" name="__module.model.gpt_neox.layers.29.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3976" name="__module.model.gpt_neox.layers.29.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3611">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3977" name="Constant_125466" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3978" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3613">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3979" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3980" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3614,qkv.59">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3981" name="__module.model.gpt_neox.layers.29.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="3616,q.59">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="6893" name="Constant_17652" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4798">
+		<layer id="4035" name="Broadcast_128677" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6894" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="4036" name="ReadValue_127507" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.29.valuepresent.29.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4799,query.181">
+				<port id="1" precision="FP32" names="past_key_values.29.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -96959,32 +61834,62 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6895" name="Constant_304925" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4037" name="Constant_126994" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6896" name="Constant_304928" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="4038" name="Gather_126995" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6897" name="Constant_304931" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4039" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="value.117">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6898" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4040" name="__module.model.gpt_neox.layers.29.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -96992,18 +61897,28 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4806,q.61">
+				<port id="5" precision="FP32" names="3674,attn_output.175">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -97011,68 +61926,28 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6899" name="self.model.gpt_neox.layers.30.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.30.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6900" name="__module.model.gpt_neox.layers.30.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6901" name="Constant_304937" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6902" name="Constant_304940" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6903" name="Constant_304943" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4041" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6904" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4042" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4800">
+				<port id="2" precision="FP32" names="3675">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -97080,8 +61955,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6905" name="ShapeOf_340639" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4043" name="__module.model.gpt_neox.layers.29.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -97089,854 +61964,1060 @@
 					<dim>32</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3678">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6906" name="Constant_341060" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4044" name="self.model.gpt_neox.layers.29.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="2434158680" size="6553600" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6907" name="Constant_340641" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="4045" name="Convert_692260" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6908" name="Gather_340642" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="4046" name="self.model.gpt_neox.layers.29.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2440712280" size="2560" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
+			</output>
+		</layer>
+		<layer id="4047" name="Convert_692263" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4810">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6909" name="Constant_433418" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
+		<layer id="4048" name="self.model.gpt_neox.layers.29.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6910" name="Constant_433411" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="4049" name="self.model.gpt_neox.layers.29.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2440714840" size="5120" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6911" name="Constant_433413" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="4050" name="self.model.gpt_neox.layers.29.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6912" name="Constant_433415" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="4051" name="__module.model.gpt_neox.layers.29.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6913" name="Concat_433416" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="4052" name="__module.model.gpt_neox.layers.29.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
+			</output>
+		</layer>
+		<layer id="4053" name="self.model.gpt_neox.layers.29.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2440719960" size="5120" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.29.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4054" name="__module.model.gpt_neox.layers.29.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6914" name="Broadcast_433419" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4055" name="__module.model.gpt_neox.layers.29.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="3682,3684,input.293">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data variable_id="past_key_values.30.keypresent.30.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="4056" name="__module.model.gpt_neox.layers.29/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.30.key">
+				<port id="2" precision="FP32" names="3688,input.295">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6916" name="Constant_402070" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="4057" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32">
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+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4106" name="__module.model.gpt_neox.layers.30.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4845,4863,4873,query.183,query.185">
+				<port id="2" precision="FP32" names="3722">
 					<dim>-1</dim>
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 					<dim>-1</dim>
-					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="6960" name="Constant_17666" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="4107" name="Constant_125467" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148976928" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4801">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6961" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4108" name="__module.model.gpt_neox.layers.30.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4802,key.181">
+				<port id="2" precision="FP32" names="3724">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="0" precision="I64">
-					<dim>4</dim>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6964" name="Constant_305057" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4109" name="__module.model.gpt_neox.layers.30.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
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-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6965" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4110" name="__module.model.gpt_neox.layers.30.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4808,k.61">
+				<port id="2" precision="FP32" names="3725,qkv.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6966" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4111" name="__module.model.gpt_neox.layers.30.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="3727,q.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="4" precision="FP32" names="3728,k.61">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="4846">
+				<port id="5" precision="FP32" names="3729,value_states.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -97944,24 +63025,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6967" name="Constant_305061" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4112" name="Constant_21964" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6968" name="Constant_305060" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="4113" name="Constant_21967" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="4114" name="Constant_21962" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4115" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -97969,119 +63057,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6970" name="__module.model.gpt_neox.layers.30.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6971" name="__module.model.gpt_neox.layers.30.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4847,4852" />
-			</output>
-		</layer>
-		<layer id="6972" name="__module.model.gpt_neox.layers.30.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6973" name="__module.model.gpt_neox.layers.30.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="4849,4850,4854,4855" />
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-		</layer>
-		<layer id="6974" name="Constant_337888" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="3733,q_rot.61">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6975" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="4116" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3737">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6976" name="Constant_305059" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4117" name="Constant_22146" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
-				<port id="0" precision="I32">
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 				<port id="0" precision="I64">
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
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 			</output>
 		</layer>
-		<layer id="6978" name="Constant_305065" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="4118" name="Constant_22148" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6979" name="Constant_305068" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4119" name="Constant_22105" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6980" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4120" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98090,17 +63137,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4856,x2.123">
+				<port id="5" precision="FP32" names="3747,x2.121">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98108,18 +63158,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6981" name="Constant_325495" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="4121" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="4122" name="__module.model.gpt_neox.layers.30.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6982" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4123" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98128,15 +63182,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4857">
+				<port id="2" precision="FP32" names="3748">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98144,24 +63193,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6983" name="Constant_305113" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4124" name="Constant_22013" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6984" name="Constant_305118" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4125" name="Constant_22054" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4126" name="Constant_22011" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6985" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4127" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98170,17 +63226,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4851">
+				<port id="5" precision="FP32" names="3742,x1.121">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98188,7 +63247,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6986" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="4128" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98205,7 +63264,7 @@
 				</port>
 			</input>
 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98213,7 +63272,7 @@
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 			</output>
 		</layer>
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+		<layer id="4129" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98230,7 +63289,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4860">
+				<port id="2" precision="FP32" names="3751">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98238,7 +63297,7 @@
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 			</output>
 		</layer>
-		<layer id="6988" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4130" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98255,32 +63314,7 @@
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3752,3770,q_embed.61,query.121">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98288,13 +63322,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6990" name="Constant_433431" type="Const" version="opset1">
+		<layer id="4131" name="Constant_128712" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6991" name="Constant_433424" type="Const" version="opset1">
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 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -98302,7 +63336,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6992" name="Constant_433426" type="Const" version="opset1">
+		<layer id="4133" name="Constant_128707" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -98310,7 +63344,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6993" name="Constant_433428" type="Const" version="opset1">
+		<layer id="4134" name="Constant_128709" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -98318,7 +63352,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6994" name="Concat_433429" type="Concat" version="opset1">
+		<layer id="4135" name="Concat_128710" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -98340,7 +63374,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6995" name="Broadcast_433432" type="Broadcast" version="opset3">
+		<layer id="4136" name="Broadcast_128713" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -98357,8 +63391,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6996" name="ReadValue_417380" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.30.valuepresent.30.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="4137" name="ReadValue_127513" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.30.keypresent.30.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98368,7 +63402,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.30.value">
+				<port id="1" precision="FP32" names="past_key_values.30.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98376,13 +63410,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6997" name="Constant_402073" type="Const" version="opset1">
+		<layer id="4138" name="Constant_126997" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6998" name="Gather_402074" type="Gather" version="opset8">
+		<layer id="4139" name="Gather_126998" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98405,80 +63439,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6999" name="Constant_305163" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="4140" name="Constant_21982" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7000" name="Constant_305166" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="4141" name="Constant_21985" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7001" name="Constant_305169" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4142" name="Constant_21980" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7002" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4143" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="4803">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7003" name="Constant_17680" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4804">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7004" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4805">
+				<port id="5" precision="FP32" names="3735,k_rot.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98486,8 +63493,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7005" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="4144" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98497,13 +63504,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.30.value">
+				<port id="2" precision="FP32" names="3753">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98511,86 +63518,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7006" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_11" type="Const" version="opset1">
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-					<dim>1</dim>
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-					<dim>2048</dim>
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-		</layer>
-		<layer id="7007" name="Constant_305173" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="4145" name="Constant_22355" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7008" name="Constant_305172" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="4146" name="Constant_22357" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
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-		</layer>
-		<layer id="7010" name="Constant_340650" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="7011" name="Constant_340651" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="4147" name="Constant_22314" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
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-		<layer id="7012" name="Gather_340652" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
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 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
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-			</output>
-		</layer>
-		<layer id="7014" name="ShapeOf_340720" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4148" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98598,222 +63550,94 @@
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 					<dim>80</dim>
 				</port>
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-		<layer id="7016" name="Constant_340722" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		<layer id="7018" name="__module.model.gpt_neox.layers.30.attention/aten::sub/Subtract" type="Subtract" version="opset1">
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 				<port id="1" precision="I64">
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="0" precision="I64">
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-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4151" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
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 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3764">
 					<dim>-1</dim>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7030" name="Constant_305253" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4152" name="Constant_22222" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="4153" name="Constant_22263" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="7032" name="Constant_305248" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4154" name="Constant_22220" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="7033" name="ScatterUpdate_305254" type="ScatterUpdate" version="opset3">
+		<layer id="4155" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -98821,182 +63645,153 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="7034" name="Constant_305257" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3758,x1.123">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4156" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="4884,4885">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3766">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7036" name="__module.model.gpt_neox.layers.30.attention/aten::where/Convert_1" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="7037" name="__module.model.gpt_neox.layers.30.attention/aten::full/Convert" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="4872" />
-			</output>
-		</layer>
-		<layer id="7038" name="__module.model.gpt_neox.layers.30.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="4157" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3767">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4158" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3768,3772,k_embed.61,key_states.63">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7040" name="ShapeOf_317149" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4159" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.121">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="I64" />
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-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="4160" name="Constant_128700" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="4870">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="7044" name="Constant_268261" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4161" name="Constant_128693" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7045" name="Constant_268263" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4162" name="Constant_128695" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7046" name="Constant_268265" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4163" name="Constant_128697" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7047" name="__module.model.gpt_neox.layers.30.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="4164" name="Concat_128698" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -99013,50 +63808,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4887">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7048" name="Maximum_317150" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4165" name="Broadcast_128701" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7049" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4166" name="ReadValue_127515" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.30.valuepresent.30.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.30.value">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="4167" name="Constant_127000" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4168" name="Gather_127001" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4889">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4169" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="value.121">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7050" name="__module.model.gpt_neox.layers.30.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="4170" name="__module.model.gpt_neox.layers.30.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99083,9 +63930,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4890,4891,sdpa_result.61,tensor.121">
+				<port id="5" precision="FP32" names="3785,attn_output.181">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99093,15 +63941,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7051" name="Constant_18121" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="4171" name="__module.model.gpt_neox.layers.30.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148976960" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4892">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7052" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4172" name="__module.model.gpt_neox.layers.30.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99109,12 +63957,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4893">
+				<port id="2" precision="FP32" names="3786">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -99122,16 +63970,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7053" name="__module.model.gpt_neox.layers.30.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="7054" name="__module.model.gpt_neox.layers.30.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="4173" name="__module.model.gpt_neox.layers.30.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99144,15 +63984,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4898">
+				<port id="2" precision="FP32" names="3789">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7055" name="self.model.gpt_neox.layers.30.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="2519860868" size="6553600" />
+		<layer id="4174" name="self.model.gpt_neox.layers.30.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="2512958040" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -99160,7 +64000,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7056" name="Convert_450186" type="Convert" version="opset1">
+		<layer id="4175" name="Convert_696557" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99175,8 +64015,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7057" name="self.model.gpt_neox.layers.30.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2526414468" size="2560" />
+		<layer id="4176" name="self.model.gpt_neox.layers.30.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2519511640" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -99184,7 +64024,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7058" name="Convert_450189" type="Convert" version="opset1">
+		<layer id="4177" name="Convert_696560" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99199,7 +64039,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7059" name="self.model.gpt_neox.layers.30.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4178" name="self.model.gpt_neox.layers.30.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99218,8 +64058,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7060" name="self.model.gpt_neox.layers.30.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2526417028" size="5120" />
+		<layer id="4179" name="self.model.gpt_neox.layers.30.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2519514200" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -99227,7 +64067,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7061" name="self.model.gpt_neox.layers.30.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4180" name="self.model.gpt_neox.layers.30.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99246,8 +64086,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7062" name="self.model.gpt_neox.layers.30.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4181" name="__module.model.gpt_neox.layers.30.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -99261,13 +64104,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7063" name="__module.model.gpt_neox.layers.30.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4182" name="__module.model.gpt_neox.layers.30.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -99282,17 +64125,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7064" name="Constant_325496" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2526422148" size="10240" />
+		<layer id="4183" name="self.model.gpt_neox.layers.30.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2519519320" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.30.attention.dense.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7065" name="__module.model.gpt_neox.layers.30.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4184" name="__module.model.gpt_neox.layers.30.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4185" name="__module.model.gpt_neox.layers.30.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99301,20 +64158,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4901,4903,input.123">
+				<port id="2" precision="FP32" names="3793,3795,input.303">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7066" name="__module.model.gpt_neox.layers.30/aten::add/Add" type="Add" version="opset1">
+		<layer id="4186" name="__module.model.gpt_neox.layers.30/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99329,14 +64184,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4907,attn_output.123">
+				<port id="2" precision="FP32" names="3799,input.305">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7067" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4187" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -99344,7 +64199,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7068" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4188" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99364,8 +64219,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7069" name="Constant_325497" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2526432388" size="10240" />
+		<layer id="4189" name="Constant_117264" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2519524440" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -99374,7 +64229,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7070" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4190" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99396,8 +64251,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7071" name="Constant_325498" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2526442628" size="10240" />
+		<layer id="4191" name="Constant_117265" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2519534680" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -99406,7 +64261,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7072" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4192" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99421,15 +64276,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4911">
+				<port id="2" precision="FP32" names="3803">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7073" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="2526452868" size="26214400" />
+		<layer id="4193" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="2519544920" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -99437,7 +64292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7074" name="Convert_450197" type="Convert" version="opset1">
+		<layer id="4194" name="Convert_412955" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99452,8 +64307,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7075" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="2552667268" size="10240" />
+		<layer id="4195" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="2545759320" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -99461,7 +64316,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7076" name="Convert_450200" type="Convert" version="opset1">
+		<layer id="4196" name="Convert_412958" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99476,7 +64331,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7077" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4197" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99495,8 +64350,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7078" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="2552677508" size="20480" />
+		<layer id="4198" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="2545769560" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -99504,7 +64359,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7079" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4199" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99523,8 +64378,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7080" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4200" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -99538,7 +64396,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7081" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4201" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99559,17 +64417,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7082" name="Constant_325499" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="2552697988" size="40960" />
+		<layer id="4202" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="2545790040" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7083" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4203" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4204" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99577,21 +64449,19 @@
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4916">
+				<port id="2" precision="FP32" names="3808,input.307">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7084" name="__module.model.gpt_neox.layers.30.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="4205" name="__module.model.gpt_neox.layers.30.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99601,15 +64471,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4917">
+				<port id="1" precision="FP32" names="3809">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7085" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="2552738948" size="26214400" />
+		<layer id="4206" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="2545810520" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -99617,7 +64487,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7086" name="Convert_450208" type="Convert" version="opset1">
+		<layer id="4207" name="Convert_417252" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99632,8 +64502,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7087" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2578953348" size="2560" />
+		<layer id="4208" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2572024920" size="2560" />
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 					<dim>2560</dim>
@@ -99641,7 +64511,7 @@
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 			</output>
 		</layer>
-		<layer id="7088" name="Convert_450211" type="Convert" version="opset1">
+		<layer id="4209" name="Convert_417255" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99656,7 +64526,7 @@
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 		</layer>
-		<layer id="7089" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4210" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP16">
@@ -99675,8 +64545,8 @@
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 			</output>
 		</layer>
-		<layer id="7090" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2578955908" size="5120" />
+		<layer id="4211" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2572027480" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -99684,7 +64554,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7091" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4212" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99703,8 +64573,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7092" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4213" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -99718,7 +64591,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7093" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4214" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99739,17 +64612,31 @@
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 			</output>
 		</layer>
-		<layer id="7094" name="Constant_325500" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2578961028" size="10240" />
+		<layer id="4215" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2572032600" size="5120" />
 			<output>
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4216" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7095" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4217" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99758,20 +64645,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
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 					<dim>2560</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7096" name="__module.model.gpt_neox.layers.30/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4218" name="__module.model.gpt_neox.layers.30/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99786,14 +64671,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4922,4924,hidden_states">
+				<port id="2" precision="FP32" names="3814,3816,input.311">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="7097" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4219" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -99801,7 +64686,7 @@
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 			</output>
 		</layer>
-		<layer id="7098" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4220" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99821,8 +64706,8 @@
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 			</output>
 		</layer>
-		<layer id="7099" name="Constant_325501" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2578971268" size="10240" />
+		<layer id="4221" name="Constant_117266" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -99831,7 +64716,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7100" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4222" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99853,8 +64738,8 @@
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 			</output>
 		</layer>
-		<layer id="7101" name="Constant_325502" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2578981508" size="10240" />
+		<layer id="4223" name="Constant_117267" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2572047960" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -99863,7 +64748,7 @@
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 			</output>
 		</layer>
-		<layer id="7102" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4224" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99878,15 +64763,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4934">
+				<port id="2" precision="FP32" names="3826,hidden_states.63">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="7680, 2560" offset="2578991748" size="19660800" />
+		<layer id="4225" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="2572058200" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -99894,7 +64779,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7104" name="Convert_450219" type="Convert" version="opset1">
+		<layer id="4226" name="Convert_563350" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99909,8 +64794,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7105" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="2598652548" size="7680" />
+		<layer id="4227" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="2591719000" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -99918,7 +64803,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7106" name="Convert_450222" type="Convert" version="opset1">
+		<layer id="4228" name="Convert_563353" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99933,7 +64818,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7107" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4229" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99952,8 +64837,8 @@
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 			</output>
 		</layer>
-		<layer id="7108" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="2598660228" size="15360" />
+		<layer id="4230" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="2591726680" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -99961,7 +64846,7 @@
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 			</output>
 		</layer>
-		<layer id="7109" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99980,8 +64865,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7110" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4232" name="__module.model.gpt_neox.layers.31.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -99995,7 +64883,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7111" name="__module.model.gpt_neox.layers.31.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4233" name="__module.model.gpt_neox.layers.31.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100016,670 +64904,144 @@
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 			</output>
 		</layer>
-		<layer id="7112" name="Constant_325503" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="2598675588" size="30720" />
+		<layer id="4234" name="self.model.gpt_neox.layers.31.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="2591742040" size="15360" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.attention.query_key_value.bias">
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7113" name="__module.model.gpt_neox.layers.31.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4235" name="__module.model.gpt_neox.layers.31.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>7680</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
+				<port id="0" precision="FP16">
 					<dim>7680</dim>
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 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="1" precision="FP32">
 					<dim>7680</dim>
 				</port>
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 		</layer>
-		<layer id="7114" name="__module.model.gpt_neox.layers.31.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
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-			<data special_zero="true" />
+		<layer id="4236" name="__module.model.gpt_neox.layers.31.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>7680</dim>
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-				<port id="0" precision="I32" />
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4996,5001" />
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-		</layer>
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-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="2" precision="FP32" names="present.31.value,value.125">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7166" name="__module.model.gpt_neox.layers.31.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="4244" name="Constant_128724" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="1" precision="I64" names="4998,4999,5003,5004" />
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="7167" name="Constant_337896" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4245" name="Constant_128717" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="4246" name="Constant_128719" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7169" name="Constant_305297" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4247" name="Constant_128721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7170" name="ScatterUpdate_305300" type="ScatterUpdate" version="opset3">
+		<layer id="4248" name="Concat_128722" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -100772,7 +65107,7 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
@@ -100782,104 +65117,96 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7171" name="Constant_305303" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="4249" name="Broadcast_128725" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7172" name="Constant_305306" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7173" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4250" name="ReadValue_127517" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.31.keypresent.31.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="5005,x2">
+				<port id="1" precision="FP32" names="past_key_values.31.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7174" name="Constant_325504" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="4251" name="Constant_127003" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7175" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4252" name="Gather_127004" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5006">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7176" name="Constant_305351" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4253" name="Constant_22690" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7177" name="Constant_305356" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4254" name="Constant_22693" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4255" name="Constant_22688" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7178" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4256" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -100888,42 +65215,45 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="5000">
+				<port id="5" precision="FP32" names="3846,k_rot">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7179" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_1" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="4257" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5008">
+				<port id="2" precision="FP32" names="3864">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -100931,36 +65261,36 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7180" name="self.model.gpt_neox.layers.31.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="4258" name="Constant_23063" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.31.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7181" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4259" name="Constant_23065" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7182" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4260" name="Constant_23022" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7183" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4261" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -100972,77 +65302,126 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4969,4972,sin.125">
+				<port id="5" precision="FP32" names="3874,x2">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7184" name="Constant_38416" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="4262" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="7185" name="__module.model.gpt_neox.layers.31.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4263" name="__module.model.gpt_neox.layers.31.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4264" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I32" />
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4977">
+				<port id="2" precision="FP32" names="3875">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4265" name="Constant_22930" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4266" name="Constant_22971" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4267" name="Constant_22928" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7186" name="__module.model.gpt_neox.layers.31.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="4268" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4978,sin">
+				<port id="5" precision="FP32" names="3869,x1">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7187" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4269" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_1" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5009">
+				<port id="2" precision="FP32" names="3877">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101050,7 +65429,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7188" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add" type="Add" version="opset1">
+		<layer id="4270" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101061,13 +65440,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5010,5014">
+				<port id="2" precision="FP32" names="3878">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101075,8 +65454,8 @@
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 			</output>
 		</layer>
-		<layer id="7189" name="__module.model.gpt_neox.layers.31.attention/aten::to/Convert" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="4271" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101092,7 +65471,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.31.key">
+				<port id="2" precision="FP32" names="3879,3883,k_embed,key_states">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101100,80 +65479,24 @@
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 			</output>
 		</layer>
-		<layer id="7241" name="Constant_305402" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="7242" name="Constant_305405" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
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-				<port id="0" precision="I64">
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-		<layer id="7243" name="Constant_305408" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
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-		<layer id="7244" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4272" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_3" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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-				<port id="4" precision="FP32" names="4946">
 					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7245" name="Constant_18233" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4947">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7246" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4948,query.187">
+				<port id="2" precision="FP32" names="key.125">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101181,32 +65504,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7247" name="Constant_305414" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4324" name="Constant_22672" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7248" name="Constant_305417" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="4325" name="Constant_22675" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7249" name="Constant_305420" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4326" name="Constant_22670" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7250" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4327" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101215,17 +65537,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4955,q">
+				<port id="5" precision="FP32" names="3844,q_rot">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101233,7 +65558,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7251" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="4328" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101250,7 +65575,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4979">
+				<port id="2" precision="FP32" names="3848">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101258,144 +65583,31 @@
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 			</output>
 		</layer>
-		<layer id="7252" name="Constant_305424" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-		<layer id="7253" name="Constant_305423" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="4329" name="Constant_22854" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977188" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
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-				<port id="1" precision="I64">
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-		<layer id="7255" name="__module.model.gpt_neox.layers.31.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="7256" name="__module.model.gpt_neox.layers.31.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4980,4985" />
-			</output>
-		</layer>
-		<layer id="7257" name="__module.model.gpt_neox.layers.31.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="7258" name="__module.model.gpt_neox.layers.31.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
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-			<output>
-				<port id="1" precision="I64" names="4982,4983,4987,4988" />
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-		<layer id="7259" name="Constant_337898" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4330" name="Constant_22856" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
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-		<layer id="7261" name="Constant_305422" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4331" name="Constant_22813" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
 			<output>
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 				<port id="0" precision="I64">
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-				<port id="3" precision="I32">
 					<dim>1</dim>
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-					<dim>4</dim>
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-		<layer id="7264" name="Constant_305431" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4332" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101404,17 +65616,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4989,x2.125">
+				<port id="5" precision="FP32" names="3858,x2.125">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101422,18 +65637,22 @@
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 			</output>
 		</layer>
-		<layer id="7266" name="Constant_325505" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="4333" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="129257244" size="4" />
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="4334" name="__module.model.gpt_neox.layers.31.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="7267" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4335" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101442,15 +65661,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4990">
+				<port id="2" precision="FP32" names="3859">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101458,24 +65672,31 @@
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 			</output>
 		</layer>
-		<layer id="7268" name="Constant_305476" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4336" name="Constant_22721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7269" name="Constant_305481" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4337" name="Constant_22762" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4338" name="Constant_22719" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148977172" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7270" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_9" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4339" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101484,17 +65705,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4984">
+				<port id="5" precision="FP32" names="3853,x1.125">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101502,7 +65726,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7271" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+		<layer id="4340" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101519,7 +65743,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4992">
+				<port id="2" precision="FP32" names="3861">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101527,7 +65751,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7272" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -101552,7 +65776,7 @@
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@@ -101569,7 +65793,7 @@
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@@ -101613,677 +65810,598 @@
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 					<dim>80</dim>
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-				<port id="0" precision="I64">
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-			<data element_type="u8" shape="2560, 1" offset="2605259908" size="2560" />
+		<layer id="4381" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
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 			<output>
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 					<dim>2560</dim>
@@ -102291,7 +66409,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7330" name="Convert_450233" type="Convert" version="opset1">
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 			<input>
 				<port id="0" precision="U8">
@@ -102306,12 +66424,12 @@
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 			</output>
 		</layer>
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+		<layer id="4383" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
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 			<input>
 				<port id="0" precision="FP16">
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@@ -102321,12 +66439,12 @@
 			<output>
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 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
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 		</layer>
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-			<data element_type="f16" shape="2560, 1" offset="2605262468" size="5120" />
+		<layer id="4384" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2650826840" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -102334,350 +66452,45 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="4385" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
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-					<dim>2560</dim>
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 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
+					<dim>10240</dim>
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 			<output>
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-			<data auto_broadcast="numpy" />
+		<layer id="4387" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
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@@ -102685,178 +66498,43 @@
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 				</port>
 				<port id="1" precision="FP32">
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-					<dim>-1</dim>
+					<dim>2560</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
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+		<layer id="4389" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
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+		<layer id="4396" name="Constant_117271" type="Const" version="opset1">
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@@ -103016,8 +66692,8 @@
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+		<layer id="4400" name="self.model.embed_out.weight/zero_point" type="Const" version="opset1">
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+		<layer id="4403" name="self.model.embed_out.weight/scale" type="Const" version="opset1">
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@@ -103068,7 +66744,7 @@
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 		</layer>
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@@ -103087,8 +66763,11 @@
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 			</output>
 		</layer>
-		<layer id="7382" name="self.model.embed_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4405" name="__module.model.embed_out/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 		</layer>
-		<layer id="7383" name="__module.model.embed_out/aten::linear/MatMul" type="MatMul" version="opset1">
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 			<data transpose_a="false" transpose_b="true" />
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@@ -103123,7 +66802,7 @@
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 			<data variable_id="past_key_values.0.valuepresent.0.value" />
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 			<data variable_id="past_key_values.1.keypresent.1.key" />
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 			<data variable_id="past_key_values.1.valuepresent.1.value" />
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@@ -103199,7 +66878,7 @@
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@@ -103218,7 +66897,7 @@
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 			<data variable_id="past_key_values.10.valuepresent.10.value" />
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@@ -103237,7 +66916,7 @@
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 			<data variable_id="past_key_values.11.keypresent.11.key" />
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@@ -103256,7 +66935,7 @@
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 			<data variable_id="past_key_values.11.valuepresent.11.value" />
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@@ -103275,7 +66954,7 @@
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 			<data variable_id="past_key_values.12.keypresent.12.key" />
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@@ -103294,7 +66973,7 @@
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 			<data variable_id="past_key_values.12.valuepresent.12.value" />
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@@ -103313,7 +66992,7 @@
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 			<data variable_id="past_key_values.13.keypresent.13.key" />
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@@ -103332,7 +67011,7 @@
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 			<data variable_id="past_key_values.13.valuepresent.13.value" />
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@@ -103351,7 +67030,7 @@
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 			<data variable_id="past_key_values.14.keypresent.14.key" />
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@@ -103370,7 +67049,7 @@
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 			<data variable_id="past_key_values.14.valuepresent.14.value" />
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@@ -103389,7 +67068,7 @@
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 			<data variable_id="past_key_values.15.keypresent.15.key" />
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@@ -103408,7 +67087,7 @@
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 			<data variable_id="past_key_values.15.valuepresent.15.value" />
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@@ -103427,7 +67106,7 @@
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@@ -103446,7 +67125,7 @@
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@@ -103465,7 +67144,7 @@
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 			<data variable_id="past_key_values.17.keypresent.17.key" />
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@@ -103484,7 +67163,7 @@
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 			<data variable_id="past_key_values.17.valuepresent.17.value" />
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 			<data variable_id="past_key_values.18.keypresent.18.key" />
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@@ -103541,7 +67220,7 @@
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 	<rt_info>
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+		<Runtime_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" />
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 			<framework value="pytorch" />
 			<is_python_object value="True" />
 		</conversion_parameters>
 		<nncf>
 			<friendly_names_were_updated value="True" />
+			<version value="2.17.0" />
 			<weight_compression>
+				<advanced_parameters value="{'statistics_path': None, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100, 'prefer_data_aware_scaling': True}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}, 'lora_adapter_rank': 256, 'backend_params': {}}" />
 				<all_layers value="False" />
 				<awq value="False" />
+				<backup_mode value="int8_asym" />
+				<compression_format value="dequantize" />
 				<gptq value="False" />
 				<group_size value="-1" />
 				<ignored_scope value="[]" />
+				<lora_correction value="False" />
 				<mode value="int8_asym" />
-				<ratio value="1" />
+				<ratio value="1.0" />
 				<scale_estimation value="False" />
 				<sensitivity_metric value="weight_quantization_error" />
 			</weight_compression>
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-			<optimum_version value="1.20.0" />
-			<pytorch_version value="2.3.0" />
-			<transformers_version value="4.41.2" />
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+			<optimum_intel_version value="1.25.0.dev0+d93fd59" />
+			<optimum_version value="1.27.0.dev0" />
+			<pytorch_version value="2.7.1+cpu" />
+			<transformers_version value="4.52.4" />
 		</optimum>
+		<runtime_options>
+			<ACTIVATIONS_SCALE_FACTOR value="8.0" />
+		</runtime_options>
 	</rt_info>
 </net>