investigating issue with the yaml

build/web/assets/assets/config/curated_models.yaml

@@ -61,19 +61,17 @@ models:
     display_name: DeepSeek V3
     num_of_parameters: 685B
   
-
-  # Gemma 3n models are not available on the Inference Providers yet
-  #- model_id: google/gemma-3n-E2B-it
-  #  display_name: Gemma 3n E2B IT (Instruct)
-  #
-  #  # While the raw parameter count of this model is 6B, the architecture design allows the model to be run with a memory footprint comparable to a traditional 2B model by offloading low-utilization matrices from the accelerator.
-  #  #num_of_parameters: 6B
-  #  num_of_parameters: 2B
-  #
-  #- model_id: google/gemma-3n-E4B-it
-  #  display_name: Gemma 3n E4B IT (Instruct)
-  #
-  #  # While the raw parameter count of this model is 8B, the architecture design allows the model to be run with a memory footprint comparable to a traditional 4B model by offloading low-utilization matrices from the accelerator.
-  #  #num_of_parameters: 8B
-  #  num_of_parameters: 4B
-
+# Gemma 3n models are not available on the Inference Providers yet
+#- model_id: google/gemma-3n-E2B-it
+#  display_name: Gemma 3n E2B IT (Instruct)
+#
+#  # While the raw parameter count of this model is 6B, the architecture design allows the model to be run with a memory footprint comparable to a traditional 2B model by offloading low-utilization matrices from the accelerator.
+#  #num_of_parameters: 6B
+#  num_of_parameters: 2B
+#
+#- model_id: google/gemma-3n-E4B-it
+#  display_name: Gemma 3n E4B IT (Instruct)
+#
+#  # While the raw parameter count of this model is 8B, the architecture design allows the model to be run with a memory footprint comparable to a traditional 4B model by offloading low-utilization matrices from the accelerator.
+#  #num_of_parameters: 8B
+#  num_of_parameters: 4B

build/web/flutter_bootstrap.js

@@ -38,6 +38,6 @@ _flutter.buildConfig = {"engineRevision":"1c9c20e7c3dd48c66f400a24d48ea806b4ab31
 
 _flutter.loader.load({
   serviceWorkerSettings: {
-    serviceWorkerVersion: "1152030249"
+    serviceWorkerVersion: "3956178763"
   }
 });

build/web/flutter_service_worker.js

@@ -3,7 +3,7 @@ const MANIFEST = 'flutter-app-manifest';
 const TEMP = 'flutter-temp-cache';
 const CACHE_NAME = 'flutter-app-cache';
 
-const RESOURCES = {"flutter_bootstrap.js": "4293255503dbf79f2be0ef00f170c7b9",
+const RESOURCES = {"flutter_bootstrap.js": "94d9727eb9f377d038a609673712a827",
 "version.json": "68350cac7987de2728345c72918dd067",
 "tikslop.png": "570e1db759046e2d224fef729983634e",
 "index.html": "3a7029b3672560e7938aab6fa4d30a46",

build/web/index.html

@@ -156,7 +156,7 @@
   </script>
   
   <!-- Add version parameter for cache busting -->
-  <script src="flutter_bootstrap.js?v=1753272934" async></script>
+  <script src="flutter_bootstrap.js?v=1753273001" async></script>
   
   <!-- Add cache busting script -->
   <script>

lib/models/curated_model.dart

@@ -90,14 +90,14 @@ class CuratedModel {
   /// Default models in case asset loading fails
   static const List<CuratedModel> _defaultModels = [
     CuratedModel(
-      modelId: 'meta-llama/Llama-3.2-3B-Instruct',
-      displayName: 'Llama 3.2 3B Instruct',
-      numOfParameters: '3B',
+      modelId: ' Qwen/Qwen3-0.6B',
+      displayName: ' Qwen/Qwen 0.6B',
+      numOfParameters: '0.6B',
     ),
     CuratedModel(
-      modelId: 'HuggingFaceTB/SmolLM3-3B',
-      displayName: 'SmolLM3 3B',
-      numOfParameters: '3B',
+      modelId: 'Unbabel/Tower-Plus-2B',
+      displayName: 'Tower-Plus-2B',
+      numOfParameters: '2B',
     ),
   ];