utrlm-te_el
Released by multimolecule in 2026, utrlm-te_el is an chat model. utrlm-te_el is an open-weights chat model.
by multimolecule
Best for
Ways to use utrlm-te_el in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your multimolecule API key. osFoundry discovers utrlm-te_el 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
utrlm-te_el 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.
utrlm-te_el vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about utrlm-te_el
Is utrlm-te_el free to use?
utrlm-te_el 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 utrlm-te_el 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 utrlm-te_el locally?
Yes. utrlm-te_el is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is utrlm-te_el best at?
utrlm-te_el is well-suited to fill mask.
How do I use utrlm-te_el in osFoundry?
Paste your multimolecule API key in the key dialog (or deploy the open weights for self-hostable models), assign utrlm-te_el to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by multimolecule on May 10, 2026. Source: https://huggingface.co/multimolecule/utrlm-te_el