RadJEPA
Released by AIDElab-IITBombay in 2026, RadJEPA is an chat model. RadJEPA is an open-weights chat model.
by AIDElab-IITBombay
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use RadJEPA in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AIDElab-IITBombay API key. osFoundry discovers RadJEPA 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
RadJEPA 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.
RadJEPA vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about RadJEPA
Is RadJEPA free to use?
RadJEPA 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 RadJEPA 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 RadJEPA locally?
Yes. RadJEPA is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is RadJEPA best at?
RadJEPA is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use RadJEPA in osFoundry?
Paste your AIDElab-IITBombay API key in the key dialog (or deploy the open weights for self-hostable models), assign RadJEPA to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AIDElab-IITBombay on January 22, 2026. Source: https://huggingface.co/AIDElab-IITBombay/RadJEPA