0.3.2.7

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"