Add Gemma-3-270m Taiwan

app.py

@@ -28,15 +28,10 @@ cancel_event = threading.Event()
 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",
-    # },
+    "Gemma-3-Taiwan-270M-it":{
+        "repo_id":"lianghsun/Gemma-3-Taiwan-270M-it",
+        "description": "google/gemma-3-270m-it fintuned on Taiwan Chinese dataset"
+    },
     "gemma-3-270m-it":{
     "repo_id":"google/gemma-3-270m-it",
     "description":"Gemma‑3‑270M‑IT is a compact, 270‑million‑parameter language model fine‑tuned for Italian, offering fast and efficient on‑device text generation and comprehension in the Italian language.",