xvla-folding
xvla-folding is a chat model from lerobot, released November 19, 2025. xvla-folding is an open-weights chat model.
by lerobot
Best for
Ways to use xvla-folding in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your lerobot API key. osFoundry discovers xvla-folding 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
xvla-folding 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.
xvla-folding vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about xvla-folding
Is xvla-folding free to use?
xvla-folding 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 xvla-folding 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 xvla-folding locally?
Yes. xvla-folding is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is xvla-folding best at?
xvla-folding is well-suited to robotics.
How do I use xvla-folding in osFoundry?
Paste your lerobot API key in the key dialog (or deploy the open weights for self-hostable models), assign xvla-folding to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by lerobot on November 19, 2025. Source: https://huggingface.co/lerobot/xvla-folding