outputs
outputs is a speech-and-audio model from SergeyAdamyan, released November 14, 2025. outputs is an open-weights audio model.
by SergeyAdamyan
Best for
- automatic speech recognition
Ways to use outputs in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your SergeyAdamyan API key. osFoundry discovers outputs 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
outputs 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.
outputs vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about outputs
Is outputs free to use?
outputs 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 outputs 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 outputs locally?
Yes. outputs is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is outputs best at?
outputs is well-suited to automatic speech recognition.
How do I use outputs in osFoundry?
Paste your SergeyAdamyan API key in the key dialog (or deploy the open weights for self-hostable models), assign outputs to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by SergeyAdamyan on November 14, 2025. Source: https://huggingface.co/SergeyAdamyan/outputs