|
|
from __future__ import annotations |
|
|
|
|
|
from aiohttp import ClientSession |
|
|
|
|
|
from ..typing import AsyncResult, Messages |
|
|
from .base_provider import AsyncGeneratorProvider |
|
|
|
|
|
models = { |
|
|
"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", |
|
|
} |
|
|
|
|
|
class Llama2(AsyncGeneratorProvider): |
|
|
url = "https://www.llama2.ai" |
|
|
working = True |
|
|
supports_message_history = True |
|
|
|
|
|
@classmethod |
|
|
async def create_async_generator( |
|
|
cls, |
|
|
model: str, |
|
|
messages: Messages, |
|
|
proxy: str = None, |
|
|
**kwargs |
|
|
) -> AsyncResult: |
|
|
if not model: |
|
|
model = "meta/llama-2-70b-chat" |
|
|
elif model in models: |
|
|
model = models[model] |
|
|
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: |
|
|
prompt = format_prompt(messages) |
|
|
data = { |
|
|
"prompt": prompt, |
|
|
"model": model, |
|
|
"systemPrompt": kwargs.get("system_message", "You are a helpful assistant."), |
|
|
"temperature": kwargs.get("temperature", 0.75), |
|
|
"topP": kwargs.get("top_p", 0.9), |
|
|
"maxTokens": kwargs.get("max_tokens", 8000), |
|
|
"image": None |
|
|
} |
|
|
started = False |
|
|
async with session.post(f"{cls.url}/api", json=data, proxy=proxy) as response: |
|
|
response.raise_for_status() |
|
|
async for chunk in response.content.iter_any(): |
|
|
if not started: |
|
|
chunk = chunk.lstrip() |
|
|
started = True |
|
|
yield chunk.decode() |
|
|
|
|
|
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" |
