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 = True supports_message_history = True default_model = "meta/llama-3-70b-chat" 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"