model_output
Built by Vyk223, model_output is an chat model. model_output is an open-weights chat model.
by Vyk223
Best for
Ways to use model_output in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Vyk223 API key. osFoundry discovers model_output 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
model_output 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.
model_output vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about model_output
Is model_output free to use?
model_output 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 model_output 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 model_output locally?
Yes. model_output is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is model_output best at?
model_output is well-suited to text generation.
How do I use model_output in osFoundry?
Paste your Vyk223 API key in the key dialog (or deploy the open weights for self-hostable models), assign model_output to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Vyk223 on April 24, 2026. Source: https://huggingface.co/Vyk223/model_output