MMfreeLM-370M
Built by ridger, MMfreeLM-370M is an chat model. MMfreeLM-370M is an open-weights chat model.
by ridger
Best for
Ways to use MMfreeLM-370M in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ridger API key. osFoundry discovers MMfreeLM-370M 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
MMfreeLM-370M 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.
MMfreeLM-370M vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about MMfreeLM-370M
Is MMfreeLM-370M free to use?
MMfreeLM-370M 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 MMfreeLM-370M 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 MMfreeLM-370M locally?
Yes. MMfreeLM-370M is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is MMfreeLM-370M best at?
MMfreeLM-370M is well-suited to text generation.
How do I use MMfreeLM-370M in osFoundry?
Paste your ridger API key in the key dialog (or deploy the open weights for self-hostable models), assign MMfreeLM-370M to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ridger on May 23, 2024. Source: https://huggingface.co/ridger/MMfreeLM-370M