MLR
yvs1997's MLR is a image-generation model. MLR is an open-weights image model.
by yvs1997
Best for
Ways to use MLR in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your yvs1997 API key. osFoundry discovers MLR 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
MLR 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.
MLR vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about MLR
Is MLR free to use?
MLR 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 MLR 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 MLR locally?
Yes. MLR is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is MLR best at?
MLR is well-suited to image classification.
How do I use MLR in osFoundry?
Paste your yvs1997 API key in the key dialog (or deploy the open weights for self-hostable models), assign MLR to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by yvs1997 on June 5, 2024. Source: https://huggingface.co/yvs1997/MLR