diff options
| -rw-r--r-- | g4f/Provider/Blackbox.py | 3 | ||||
| -rw-r--r-- | g4f/Provider/HuggingChat.py | 2 | ||||
| -rw-r--r-- | g4f/models.py | 2 |
3 files changed, 4 insertions, 3 deletions
diff --git a/g4f/Provider/Blackbox.py b/g4f/Provider/Blackbox.py index 40696c82..3e183076 100644 --- a/g4f/Provider/Blackbox.py +++ b/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 diff --git a/g4f/Provider/HuggingChat.py b/g4f/Provider/HuggingChat.py index 06216ade..01490e2f 100644 --- a/g4f/Provider/HuggingChat.py +++ b/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", diff --git a/g4f/models.py b/g4f/models.py index f5980577..2f4405a3 100644 --- a/g4f/models.py +++ b/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( |