SmolVLA_put_red_cube
Released by Nhathao04 in 2026, SmolVLA_put_red_cube is an chat model. SmolVLA_put_red_cube is an open-weights chat model.
by Nhathao04
Best for
Ways to use SmolVLA_put_red_cube in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Nhathao04 API key. osFoundry discovers SmolVLA_put_red_cube 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
SmolVLA_put_red_cube 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.
SmolVLA_put_red_cube vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about SmolVLA_put_red_cube
Is SmolVLA_put_red_cube free to use?
SmolVLA_put_red_cube 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 SmolVLA_put_red_cube 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 SmolVLA_put_red_cube locally?
Yes. SmolVLA_put_red_cube is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is SmolVLA_put_red_cube best at?
SmolVLA_put_red_cube is well-suited to robotics.
How do I use SmolVLA_put_red_cube in osFoundry?
Paste your Nhathao04 API key in the key dialog (or deploy the open weights for self-hostable models), assign SmolVLA_put_red_cube to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Nhathao04 on May 10, 2026. Source: https://huggingface.co/Nhathao04/SmolVLA_put_red_cube