Remove XGLM 7.5B model details from app.py and settings.py for cleanup

app.py

@@ -102,29 +102,7 @@ MODEL_DETAILS = {
         ],
         "documentation": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2"
     },
-    "xglm-7.5b": {
-        "full_name": "Meta XGLM 7.5B",
-        "capabilities": [
-            "Specialized for multilingual generation",
-            "Support for 30+ languages",
-            "Strong cross-lingual transfer abilities",
-            "Consistent performance across diverse languages"
-        ],
-        "limitations": [
-            "Less instruction-tuned than dedicated chat models",
-            "May require more specific prompting",
-            "Not specifically optimized for legal domain",
-            "Slightly larger model requiring more GPU memory"
-        ],
-        "use_cases": [
-            "International legal assistance in native languages",
-            "Complex multilingual documentation",
-            "Serving clients from diverse linguistic backgrounds",
-            "Translation and summarization of legal concepts across languages"
-        ],
-        "documentation": "https://huggingface.co/facebook/xglm-7.5B"
     }
-}
 # MODEL_DETAILS = {
 #     "llama-7b": {
 #         "full_name": "Meta Llama 2 7B Chat",

config/settings.py

@@ -25,7 +25,7 @@ MODELS = {
         "id": "HuggingFaceH4/zephyr-7b-beta",
         "name": "Zephyr 7B",
         "description": "A state-of-the-art 7B parameter language model",
-        "type": "base",  # base/fine-tuned
+        "type": "base",
         "parameters": {
             "max_length": 2048,
             "temperature": 0.7,
@@ -33,7 +33,7 @@ MODELS = {
             "repetition_penalty": 1.1,
         },
         "training": {
-            "base_model_path": "HuggingFaceH4/zephyr-7b-beta",  # Используем прямой путь к модели
+            "base_model_path": "HuggingFaceH4/zephyr-7b-beta",
             "fine_tuned_path": os.path.join(TRAINING_OUTPUT_DIR, "zephyr-7b-beta-tuned"),
             "lora_config": {
                 "r": 16,
@@ -87,28 +87,6 @@ MODELS = {
             }
         }
     },
-    "xglm-7.5b": {
-        "id": "facebook/xglm-7.5B",
-        "name": "XGLM 7.5B",
-        "description": "Meta's multilingual model designed for cross-lingual generation",
-        "type": "base",
-        "parameters": {
-            "max_length": 2048,
-            "temperature": 0.7,
-            "top_p": 0.9,
-            "repetition_penalty": 1.1,
-        },
-        "training": {
-            "base_model_path": "facebook/xglm-7.5B",
-            "fine_tuned_path": os.path.join(TRAINING_OUTPUT_DIR, "xglm-7.5b-tuned"),
-            "lora_config": {
-                "r": 16,
-                "lora_alpha": 32,
-                "lora_dropout": 0.05,
-                "target_modules": ["q_proj", "v_proj", "k_proj", "o_proj"]
-            }
-        }
-    }
 }
 
 # Default model
@@ -119,4 +97,4 @@ ACTIVE_MODEL = MODELS[DEFAULT_MODEL]
 EMBEDDING_MODEL = "intfloat/multilingual-e5-large"
 
 # Request settings
-USER_AGENT = "Status-Law-Assistant/1.0"
+USER_AGENT = "Status-Law-Assistant/1.0"