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tinyllava-TinyLLaVA-Phi-2-SigLIP-3.1B-QUANTO-int2bit-smashed

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• "quanto.nn.qlinear.QLinear",
• "transformers.models.siglip.modeling_siglip.SiglipMultiheadAttentionPoolingHead",
• "transformers_modules.tinyllava.TinyLLaVA-Phi-2-SigLIP-3.1B.a98601f69e72442f71721aefcfbcdce26db8982a.modeling_tinyllava_phi.TinyLlavaForConditionalGeneration",
• "transformers.models.siglip.image_processing_siglip.SiglipImageProcessor",
• "transformers.models.siglip.configuration_siglip.SiglipVisionConfig",
• "transformers.models.siglip.modeling_siglip.SiglipEncoderLayer",
• "torch.HalfStorage",
• "torch._utils._rebuild_parameter",
• "quanto.nn.qconv2d.QConv2d",
• "transformers.models.siglip.modeling_siglip.SiglipAttention",
• "torch.float16",
• "transformers.models.phi.modeling_phi.PhiDecoderLayer",
• "transformers.models.siglip.modeling_siglip.SiglipVisionEmbeddings",
• "collections.OrderedDict",
• "__builtin__.set",
• "torch.nn.modules.activation.GELU",
• "transformers.models.siglip.modeling_siglip.SiglipVisionTransformer",
• "transformers.models.siglip.modeling_siglip.SiglipMLP",
• "torch.LongStorage",
• "torch.nn.modules.sparse.Embedding",
• "torch.nn.modules.container.Sequential",
• "transformers.activations.PytorchGELUTanh",
• "torch.device",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.phi.modeling_phi.PhiRotaryEmbedding",
• "torch.int8",
• "transformers.models.phi.modeling_phi.PhiModel",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.modules.container.ModuleList",
• "transformers_modules.tinyllava.TinyLLaVA-Phi-2-SigLIP-3.1B.a98601f69e72442f71721aefcfbcdce26db8982a.configuration.TinyLlavaConfig",
• "transformers.models.siglip.modeling_siglip.SiglipVisionModel",
• "transformers_modules.tinyllava.TinyLLaVA-Phi-2-SigLIP-3.1B.a98601f69e72442f71721aefcfbcdce26db8982a.modeling_tinyllava_phi.VisionTower",
• "transformers.models.phi.modeling_phi.PhiMLP",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.phi.modeling_phi.PhiSdpaAttention",
• "transformers.generation.configuration_utils.GenerationConfig",
• "transformers.activations.NewGELUActivation",
• "transformers.models.phi.configuration_phi.PhiConfig",
• "transformers.models.siglip.modeling_siglip.SiglipEncoder",
• "torch.FloatStorage",
• "transformers_modules.tinyllava.TinyLLaVA-Phi-2-SigLIP-3.1B.a98601f69e72442f71721aefcfbcdce26db8982a.modeling_tinyllava_phi.Connector",
• "quanto.tensor.qtype.qtype",
• "transformers.models.phi.modeling_phi.PhiForCausalLM",
• "torch.nn.modules.normalization.LayerNorm"

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