Sentinelle-marbertv2-v62-fold2
Released by vilfrid in 2026, Sentinelle-marbertv2-v62-fold2 is an chat model. Sentinelle-marbertv2-v62-fold2 is an open-weights chat model.
by vilfrid
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Ways to use Sentinelle-marbertv2-v62-fold2 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your vilfrid API key. osFoundry discovers Sentinelle-marbertv2-v62-fold2 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
Sentinelle-marbertv2-v62-fold2 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.
Sentinelle-marbertv2-v62-fold2 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Sentinelle-marbertv2-v62-fold2
Is Sentinelle-marbertv2-v62-fold2 free to use?
Sentinelle-marbertv2-v62-fold2 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 Sentinelle-marbertv2-v62-fold2 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 Sentinelle-marbertv2-v62-fold2 locally?
Yes. Sentinelle-marbertv2-v62-fold2 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Sentinelle-marbertv2-v62-fold2 best at?
Sentinelle-marbertv2-v62-fold2 is well-suited to text classification.
How do I use Sentinelle-marbertv2-v62-fold2 in osFoundry?
Paste your vilfrid API key in the key dialog (or deploy the open weights for self-hostable models), assign Sentinelle-marbertv2-v62-fold2 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by vilfrid on April 20, 2026. Source: https://huggingface.co/vilfrid/Sentinelle-marbertv2-v62-fold2