m2m100_418M
m2m100_418M (Xenova, 2023) is an chat model. m2m100_418M is an open-weights chat model.
by Xenova
Best for
Ways to use m2m100_418M in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Xenova API key. osFoundry discovers m2m100_418M 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
m2m100_418M 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.
m2m100_418M vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about m2m100_418M
Is m2m100_418M free to use?
m2m100_418M 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 m2m100_418M 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 m2m100_418M locally?
Yes. m2m100_418M is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is m2m100_418M best at?
m2m100_418M is well-suited to translation.
How do I use m2m100_418M in osFoundry?
Paste your Xenova API key in the key dialog (or deploy the open weights for self-hostable models), assign m2m100_418M to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Xenova on August 12, 2023. Source: https://huggingface.co/Xenova/m2m100_418M