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