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-rw-r--r--g4f/Provider/Llama2.py76
1 files changed, 76 insertions, 0 deletions
diff --git a/g4f/Provider/Llama2.py b/g4f/Provider/Llama2.py
new file mode 100644
index 00000000..b59fde12
--- /dev/null
+++ b/g4f/Provider/Llama2.py
@@ -0,0 +1,76 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+
+models = {
+ "7B": {"name": "Llama 2 7B", "version": "d24902e3fa9b698cc208b5e63136c4e26e828659a9f09827ca6ec5bb83014381", "shortened":"7B"},
+ "13B": {"name": "Llama 2 13B", "version": "9dff94b1bed5af738655d4a7cbcdcde2bd503aa85c94334fe1f42af7f3dd5ee3", "shortened":"13B"},
+ "70B": {"name": "Llama 2 70B", "version": "2796ee9483c3fd7aa2e171d38f4ca12251a30609463dcfd4cd76703f22e96cdf", "shortened":"70B"},
+ "Llava": {"name": "Llava 13B", "version": "6bc1c7bb0d2a34e413301fee8f7cc728d2d4e75bfab186aa995f63292bda92fc", "shortened":"Llava"}
+}
+
+class Llama2(AsyncGeneratorProvider):
+ url = "https://www.llama2.ai"
+ supports_gpt_35_turbo = True
+ working = True
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ if not model:
+ model = "70B"
+ if model not in models:
+ raise ValueError(f"Model are not supported: {model}")
+ version = models[model]["version"]
+ 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,
+ "version": version,
+ "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", 1024),
+ "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) \ No newline at end of file