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-rw-r--r--g4f/Provider/HuggingFace.py58
1 files changed, 49 insertions, 9 deletions
diff --git a/g4f/Provider/HuggingFace.py b/g4f/Provider/HuggingFace.py
index 6a05c26e..a3741196 100644
--- a/g4f/Provider/HuggingFace.py
+++ b/g4f/Provider/HuggingFace.py
@@ -1,23 +1,47 @@
from __future__ import annotations
-
import json
from aiohttp import ClientSession, BaseConnector
-
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import get_connector
from ..errors import RateLimitError, ModelNotFoundError
from ..requests.raise_for_status import raise_for_status
-
class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://huggingface.co/chat"
working = True
+ needs_auth = True
supports_message_history = True
+ default_model = "meta-llama/Meta-Llama-3.1-70B-Instruct"
models = [
- "mistralai/Mixtral-8x7B-Instruct-v0.1",
- "mistralai/Mistral-7B-Instruct-v0.2"
+ 'meta-llama/Meta-Llama-3.1-70B-Instruct',
+ 'meta-llama/Meta-Llama-3.1-405B-Instruct-FP8',
+ 'CohereForAI/c4ai-command-r-plus',
+ 'mistralai/Mixtral-8x7B-Instruct-v0.1',
+ 'NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO',
+ '01-ai/Yi-1.5-34B-Chat',
+ 'mistralai/Mistral-7B-Instruct-v0.3',
+ 'microsoft/Phi-3-mini-4k-instruct',
]
- default_model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
+
+ model_aliases = {
+ "llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct",
+ "llama-3.1-405b": "meta-llama/Meta-Llama-3.1-405B-Instruct-FP8",
+ "command-r-plus": "CohereForAI/c4ai-command-r-plus",
+ "mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1",
+ "mixtral-8x7b": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+ "yi-1.5-34b": "01-ai/Yi-1.5-34B-Chat",
+ "mistral-7b": "mistralai/Mistral-7B-Instruct-v0.3",
+ "phi-3-mini-4k": "microsoft/Phi-3-mini-4k-instruct",
+ }
+
+ @classmethod
+ def get_model(cls, model: str) -> str:
+ if model in cls.models:
+ return model
+ elif model in cls.model_aliases:
+ return cls.model_aliases[model]
+ else:
+ return cls.default_model
@classmethod
async def create_async_generator(
@@ -33,10 +57,26 @@ class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin):
temperature: float = 0.7,
**kwargs
) -> AsyncResult:
- model = cls.get_model(model) if not model else model
- headers = {}
+ model = cls.get_model(model)
+ headers = {
+ 'accept': '*/*',
+ 'accept-language': 'en',
+ 'cache-control': 'no-cache',
+ 'origin': 'https://huggingface.co',
+ 'pragma': 'no-cache',
+ 'priority': 'u=1, i',
+ 'referer': 'https://huggingface.co/chat/',
+ 'sec-ch-ua': '"Not)A;Brand";v="99", "Google Chrome";v="127", "Chromium";v="127"',
+ 'sec-ch-ua-mobile': '?0',
+ 'sec-ch-ua-platform': '"macOS"',
+ 'sec-fetch-dest': 'empty',
+ 'sec-fetch-mode': 'cors',
+ 'sec-fetch-site': 'same-origin',
+ 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36',
+ }
if api_key is not None:
headers["Authorization"] = f"Bearer {api_key}"
+
params = {
"return_full_text": False,
"max_new_tokens": max_new_tokens,
@@ -44,6 +84,7 @@ class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin):
**kwargs
}
payload = {"inputs": format_prompt(messages), "parameters": params, "stream": stream}
+
async with ClientSession(
headers=headers,
connector=get_connector(connector, proxy)
@@ -65,7 +106,6 @@ class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin):
yield chunk
else:
yield (await response.json())[0]["generated_text"].strip()
-
def format_prompt(messages: Messages) -> str:
system_messages = [message["content"] for message in messages if message["role"] == "system"]
question = " ".join([messages[-1]["content"], *system_messages])