remove prevously added breeze models (as it didn't work), add smollm 135m taiwan

app.py

@@ -29,13 +29,17 @@ MODELS = {
     # … your existing entries …
     "Qwen2.5-Taiwan-1.5B-Instruct": {"repo_id": "benchang1110/Qwen2.5-Taiwan-1.5B-Instruct", "description": "Qwen2.5-Taiwan-1.5B-Instruct"},
     # ——— New Taiwan-tuned variants ———
-    "MediaTek-Research/Llama-Breeze2-3B-Instruct":{
-        "repo_id":"MediaTek-Research/Llama-Breeze2-3B-Instruct",
-        "description":"The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on LLaMA with Vision-Aware and Function-Calling Capabilities",
-    },
-    "MediaTek-Research/Llama-Breeze2-8B-Instruct":{
-        "repo_id":"MediaTek-Research/Llama-Breeze2-8B-Instruct",
-        "description":"The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on LLaMA with Vision-Aware and Function-Calling Capabilities",
+    # "MediaTek-Research/Llama-Breeze2-3B-Instruct":{
+    #     "repo_id":"MediaTek-Research/Llama-Breeze2-3B-Instruct",
+    #     "description":"The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on LLaMA with Vision-Aware and Function-Calling Capabilities",
+    # },
+    # "MediaTek-Research/Llama-Breeze2-8B-Instruct":{
+    #     "repo_id":"MediaTek-Research/Llama-Breeze2-8B-Instruct",
+    #     "description":"The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on LLaMA with Vision-Aware and Function-Calling Capabilities",
+    # },
+    "SmolLM-135M-Taiwan-Instruct-v1.0": {
+        "repo_id": "benchang1110/SmolLM-135M-Taiwan-Instruct-v1.0",
+        "description": "135-million-parameter F32 safetensors instruction-finetuned variant of SmolLM-135M-Taiwan, trained on the 416 k-example ChatTaiwan dataset for Traditional Chinese conversational and instruction-following tasks"
     },
     "Llama-3.2-Taiwan-1B": {
         "repo_id": "lianghsun/Llama-3.2-Taiwan-1B",