from __future__ import annotations
from .Openai import Openai
from ...typing import AsyncResult, Messages
class Groq(Openai):
label = "Groq"
url = "https://console.groq.com/playground"
working = True
default_model = "mixtral-8x7b-32768"
models = [
"distil-whisper-large-v3-en",
"gemma2-9b-it",
"gemma-7b-it",
"llama3-groq-70b-8192-tool-use-preview",
"llama3-groq-8b-8192-tool-use-preview",
"llama-3.1-70b-versatile",
"llama-3.1-8b-instant",
"llama-3.2-1b-preview",
"llama-3.2-3b-preview",
"llama-3.2-11b-vision-preview",
"llama-3.2-90b-vision-preview",
"llama-guard-3-8b",
"llava-v1.5-7b-4096-preview",
"llama3-70b-8192",
"llama3-8b-8192",
"mixtral-8x7b-32768",
"whisper-large-v3",
"whisper-large-v3-turbo",
]
model_aliases = {"mixtral-8x7b": "mixtral-8x7b-32768", "llama2-70b": "llama2-70b-4096"}
@classmethod
def create_async_generator(
cls,
model: str,
messages: Messages,
api_base: str = "https://api.groq.com/openai/v1",
**kwargs
) -> AsyncResult:
return super().create_async_generator(
model, messages, api_base=api_base, **kwargs
)
