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Modified
g4f/Provider/HuggingChat.py
+0
-2
Modified
g4f/models.py
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-1
XFEstudio/gpt4free
Updated g4f/models.py g4f/Provider/HuggingChat.py
8237de5d
代码差异
2 个文件
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@@ -17,7 +17,6 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
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'meta-llama/Meta-Llama-3.1-70B-Instruct',
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'CohereForAI/c4ai-command-r-plus-08-2024',
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'Qwen/Qwen2.5-72B-Instruct',
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'mistralai/Mixtral-8x7B-Instruct-v0.1',
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'NousResearch/Hermes-3-Llama-3.1-8B',
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'mistralai/Mistral-Nemo-Instruct-2407',
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'microsoft/Phi-3.5-mini-instruct',
@@ -27,7 +26,6 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
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"llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct",
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"command-r-plus": "CohereForAI/c4ai-command-r-plus-08-2024",
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"qwen-2-72b": "Qwen/Qwen2.5-72B-Instruct",
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"mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1",
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"hermes-3": "NousResearch/Hermes-3-Llama-3.1-8B",
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"mistral-nemo": "mistralai/Mistral-Nemo-Instruct-2407",
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"phi-3.5-mini": "microsoft/Phi-3.5-mini-instruct",
@@ -240,7 +240,7 @@ mistral_7b = Model(
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mixtral_8x7b = Model(
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name = "mixtral-8x7b",
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base_provider = "Mistral",
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best_provider = IterListProvider([HuggingChat, DDG, ReplicateHome, DeepInfraChat, Airforce, DeepInfra, HuggingFace])
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best_provider = IterListProvider([DDG, ReplicateHome, DeepInfraChat, Airforce, DeepInfra])
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)
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mixtral_8x22b = Model(