feat(g4f/Provider/HuggingChat.): add Qwen2.5-72B model and alias

g4f/Provider/Blackbox.py

@@ -154,7 +154,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
                     async for chunk in response.content.iter_any():
                         if chunk:
                             decoded_chunk = chunk.decode()
-                            # Видаляємо префікс $@$v=v1.10-rv1$@$ та інші подібні
                             decoded_chunk = re.sub(r'\$@\$v=[^$]+\$@\$', '', decoded_chunk)
-                            if decoded_chunk.strip():  # Перевіряємо, чи залишився якийсь текст після видалення префікса
+                            if decoded_chunk.strip():
                                 yield decoded_chunk

g4f/Provider/HuggingChat.py

@@ -16,6 +16,7 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
     models = [
         'meta-llama/Meta-Llama-3.1-70B-Instruct',
         'CohereForAI/c4ai-command-r-plus-08-2024',
+        'Qwen/Qwen2.5-72B-Instruct',
         'mistralai/Mixtral-8x7B-Instruct-v0.1',
         'NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO',
         'mistralai/Mistral-7B-Instruct-v0.3',
@@ -25,6 +26,7 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
     model_aliases = {
         "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",
         "mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1",
         "mixtral-8x7b-dpo": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
         "mistral-7b": "mistralai/Mistral-7B-Instruct-v0.3",

g4f/models.py

@@ -443,7 +443,7 @@ qwen_1_5_110b = Model(
 qwen_2_72b = Model(
     name = 'qwen-2-72b',
     base_provider = 'Qwen',
-    best_provider = IterListProvider([DeepInfraChat, Airforce])
+    best_provider = IterListProvider([DeepInfraChat, HuggingChat, Airforce, HuggingFace])
 )
 
 qwen_turbo = Model(