Update src/streamlit_app.py

src/streamlit_app.py

@@ -73,11 +73,7 @@ def extract_numeric_ram(ram) -> Optional[int]:
 
 # Streamlined LLM database with popular models and download sizes
 LLM_DATABASE = {
-    QUANTIZATION_INFO = {
-    "fp16": {"multiplier": 1.0, "label": "FP16 (Full)", "description": "Best quality, largest size"},
-    "8bit": {"multiplier": 0.5, "label": "8-bit", "description": "Good quality, 50% smaller"},
-    "4bit": {"multiplier": 0.25, "label": "4-bit", "description": "Decent quality, 75% smaller"}
-}
+    
     "ultra_low": {  # ≤2GB
         "general": [
             {"name": "TinyLlama-1.1B-Chat", "size": "637MB", "description": "Compact chat model"},
@@ -187,6 +183,11 @@ LLM_DATABASE = {
         ]
     }
 }
+QUANTIZATION_INFO = {
+    "fp16": {"multiplier": 1.0, "label": "FP16 (Full)", "description": "Best quality, largest size"},
+    "8bit": {"multiplier": 0.5, "label": "8-bit", "description": "Good quality, 50% smaller"},
+    "4bit": {"multiplier": 0.25, "label": "4-bit", "description": "Decent quality, 75% smaller"}
+}
 
 # Enhanced LLM recommendation with performance tiers
 def recommend_llm(ram_str) -> Tuple[str, str, str, Dict[str, List[Dict]]]: