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- from __future__ import annotations
- from .OpenaiAPI import OpenaiAPI
- from ...typing import AsyncResult, Messages
- class Groq(OpenaiAPI):
- 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
- )
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