DiCoW_v3_MLC
DiCoW_v3_MLC (BUT-FIT, 2025) is an speech-and-audio model. DiCoW_v3_MLC is an open-weights audio model.
by BUT-FIT
Best for
- automatic speech recognition
Ways to use DiCoW_v3_MLC in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your BUT-FIT API key. osFoundry discovers DiCoW_v3_MLC 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
DiCoW_v3_MLC 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.
DiCoW_v3_MLC vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about DiCoW_v3_MLC
Is DiCoW_v3_MLC free to use?
DiCoW_v3_MLC 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 DiCoW_v3_MLC 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 DiCoW_v3_MLC locally?
Yes. DiCoW_v3_MLC is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is DiCoW_v3_MLC best at?
DiCoW_v3_MLC is well-suited to automatic speech recognition.
How do I use DiCoW_v3_MLC in osFoundry?
Paste your BUT-FIT API key in the key dialog (or deploy the open weights for self-hostable models), assign DiCoW_v3_MLC to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by BUT-FIT on June 19, 2025. Source: https://huggingface.co/BUT-FIT/DiCoW_v3_MLC