feat(g4f/Provider/HuggingChat.py): update HuggingChat model list and …

…aliases

Request by @TheFirstNoob
- Add 'Qwen/Qwen2.5-72B-Instruct' as the first model in the list
- Update model aliases to include 'qwen-2.5-72b'
- Reorder existing models in the list for consistency
- Remove duplicate entry for 'Qwen/Qwen2.5-72B-Instruct' in models list

g4f/Provider/HuggingChat.py

@@ -21,6 +21,7 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
     default_model = "meta-llama/Meta-Llama-3.1-70B-Instruct"
 
     models = [
+        'Qwen/Qwen2.5-72B-Instruct',
         'meta-llama/Meta-Llama-3.1-70B-Instruct',
         'CohereForAI/c4ai-command-r-plus-08-2024',
         'Qwen/Qwen2.5-72B-Instruct',
@@ -33,6 +34,7 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
     ]
 
     model_aliases = {
+        "qwen-2.5-72b": "Qwen/Qwen2.5-72B-Instruct",
         "llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct",
         "command-r-plus": "CohereForAI/c4ai-command-r-plus-08-2024",
         "qwen-2-72b": "Qwen/Qwen2.5-72B-Instruct",
@@ -173,4 +175,4 @@ def create_completion(
             full_response = full_response.replace('<|im_end|', '').replace('\u0000', '').strip()
 
             if not stream:
-                yield full_response
+                yield full_response

g4f/models.py

@@ -181,7 +181,7 @@ def __all__() -> list[str]:
 llama_3_2_1b = Model(
     name          = "llama-3.2-1b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([Cloudflare])
+    best_provider = Cloudflare
 )
 
 llama_3_2_11b = Model(
@@ -257,7 +257,7 @@ def __all__() -> list[str]:
 phi_2 = Model(
     name          = "phi-2",
     base_provider = "Microsoft",
-    best_provider = IterListProvider([Airforce])
+    best_provider = Airforce
 )
 
 phi_3_5_mini = Model(