libero_10_25k
libero_10_25k (j1y2003, 2025) is an chat model. libero_10_25k is an open-weights chat model.
by j1y2003
Best for
Ways to use libero_10_25k in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your j1y2003 API key. osFoundry discovers libero_10_25k 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
libero_10_25k 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.
libero_10_25k vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about libero_10_25k
Is libero_10_25k free to use?
libero_10_25k 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 libero_10_25k 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 libero_10_25k locally?
Yes. libero_10_25k is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is libero_10_25k best at?
libero_10_25k is well-suited to robotics.
How do I use libero_10_25k in osFoundry?
Paste your j1y2003 API key in the key dialog (or deploy the open weights for self-hostable models), assign libero_10_25k to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by j1y2003 on August 3, 2025. Source: https://huggingface.co/j1y2003/libero_10_25k