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-rw-r--r--g4f/Provider/Llama.py91
1 files changed, 0 insertions, 91 deletions
diff --git a/g4f/Provider/Llama.py b/g4f/Provider/Llama.py
deleted file mode 100644
index 235c0994..00000000
--- a/g4f/Provider/Llama.py
+++ /dev/null
@@ -1,91 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-
-from ..typing import AsyncResult, Messages
-from ..requests.raise_for_status import raise_for_status
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-
-
-class Llama(AsyncGeneratorProvider, ProviderModelMixin):
- url = "https://www.llama2.ai"
- working = False
- supports_message_history = True
- default_model = "meta/meta-llama-3-70b-instruct"
- models = [
- "meta/llama-2-7b-chat",
- "meta/llama-2-13b-chat",
- "meta/llama-2-70b-chat",
- "meta/meta-llama-3-8b-instruct",
- "meta/meta-llama-3-70b-instruct",
- ]
- model_aliases = {
- "meta-llama/Meta-Llama-3-8B-Instruct": "meta/meta-llama-3-8b-instruct",
- "meta-llama/Meta-Llama-3-70B-Instruct": "meta/meta-llama-3-70b-instruct",
- "meta-llama/Llama-2-7b-chat-hf": "meta/llama-2-7b-chat",
- "meta-llama/Llama-2-13b-chat-hf": "meta/llama-2-13b-chat",
- "meta-llama/Llama-2-70b-chat-hf": "meta/llama-2-70b-chat",
- }
-
- @classmethod
- async def create_async_generator(
- cls,
- model: str,
- messages: Messages,
- proxy: str = None,
- system_message: str = "You are a helpful assistant.",
- temperature: float = 0.75,
- top_p: float = 0.9,
- max_tokens: int = 8000,
- **kwargs
- ) -> AsyncResult:
- headers = {
- "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/118.0",
- "Accept": "*/*",
- "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
- "Accept-Encoding": "gzip, deflate, br",
- "Referer": f"{cls.url}/",
- "Content-Type": "text/plain;charset=UTF-8",
- "Origin": cls.url,
- "Connection": "keep-alive",
- "Sec-Fetch-Dest": "empty",
- "Sec-Fetch-Mode": "cors",
- "Sec-Fetch-Site": "same-origin",
- "Pragma": "no-cache",
- "Cache-Control": "no-cache",
- "TE": "trailers"
- }
- async with ClientSession(headers=headers) as session:
- system_messages = [message["content"] for message in messages if message["role"] == "system"]
- if system_messages:
- system_message = "\n".join(system_messages)
- messages = [message for message in messages if message["role"] != "system"]
- prompt = format_prompt(messages)
- data = {
- "prompt": prompt,
- "model": cls.get_model(model),
- "systemPrompt": system_message,
- "temperature": temperature,
- "topP": top_p,
- "maxTokens": max_tokens,
- "image": None
- }
- started = False
- async with session.post(f"{cls.url}/api", json=data, proxy=proxy) as response:
- await raise_for_status(response)
- async for chunk in response.content.iter_any():
- if not chunk:
- continue
- if not started:
- chunk = chunk.lstrip()
- started = True
- yield chunk.decode(errors="ignore")
-
-def format_prompt(messages: Messages):
- messages = [
- f"[INST] {message['content']} [/INST]"
- if message["role"] == "user"
- else message["content"]
- for message in messages
- ]
- return "\n".join(messages) + "\n"