lite-whisper-large-v3-turbo
Built by efficient-speech, lite-whisper-large-v3-turbo is an speech-and-audio model. lite-whisper-large-v3-turbo is an open-weights audio model.
by efficient-speech
Best for
- automatic speech recognition
Ways to use lite-whisper-large-v3-turbo in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your efficient-speech API key. osFoundry discovers lite-whisper-large-v3-turbo automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
lite-whisper-large-v3-turbo is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
lite-whisper-large-v3-turbo vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about lite-whisper-large-v3-turbo
Is lite-whisper-large-v3-turbo free to use?
lite-whisper-large-v3-turbo is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use lite-whisper-large-v3-turbo commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run lite-whisper-large-v3-turbo locally?
Yes. lite-whisper-large-v3-turbo is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is lite-whisper-large-v3-turbo best at?
lite-whisper-large-v3-turbo is well-suited to automatic speech recognition.
How do I use lite-whisper-large-v3-turbo in osFoundry?
Paste your efficient-speech API key in the key dialog (or deploy the open weights for self-hostable models), assign lite-whisper-large-v3-turbo to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by efficient-speech on February 26, 2025. Source: https://huggingface.co/efficient-speech/lite-whisper-large-v3-turbo