act_pusht
Built by aadarshram, act_pusht is an chat model. act_pusht is an open-weights chat model.
by aadarshram
Best for
Ways to use act_pusht in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your aadarshram API key. osFoundry discovers act_pusht 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
act_pusht 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.
act_pusht vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about act_pusht
Is act_pusht free to use?
act_pusht 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 act_pusht 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 act_pusht locally?
Yes. act_pusht is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is act_pusht best at?
act_pusht is well-suited to robotics.
How do I use act_pusht in osFoundry?
Paste your aadarshram API key in the key dialog (or deploy the open weights for self-hostable models), assign act_pusht to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by aadarshram on October 25, 2025. Source: https://huggingface.co/aadarshram/act_pusht