rm-ckpts
rm-ckpts is a chat model from ModelsLab, released April 10, 2025. rm-ckpts is an open-weights chat model.
by ModelsLab
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use rm-ckpts in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ModelsLab API key. osFoundry discovers rm-ckpts 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
rm-ckpts 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.
rm-ckpts vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about rm-ckpts
Is rm-ckpts free to use?
rm-ckpts 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 rm-ckpts 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 rm-ckpts locally?
Yes. rm-ckpts is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is rm-ckpts best at?
rm-ckpts is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use rm-ckpts in osFoundry?
Paste your ModelsLab API key in the key dialog (or deploy the open weights for self-hostable models), assign rm-ckpts to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ModelsLab on April 10, 2025. Source: https://huggingface.co/ModelsLab/rm-ckpts