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