s3-8-3-3-20steps
Built by pat-jj, s3-8-3-3-20steps is an chat model. s3-8-3-3-20steps is an open-weights chat model.
by pat-jj
Best for
Ways to use s3-8-3-3-20steps in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your pat-jj API key. osFoundry discovers s3-8-3-3-20steps 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
s3-8-3-3-20steps 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.
s3-8-3-3-20steps vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about s3-8-3-3-20steps
Is s3-8-3-3-20steps free to use?
s3-8-3-3-20steps 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 s3-8-3-3-20steps 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 s3-8-3-3-20steps locally?
Yes. s3-8-3-3-20steps is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is s3-8-3-3-20steps best at?
s3-8-3-3-20steps is well-suited to reinforcement learning.
How do I use s3-8-3-3-20steps in osFoundry?
Paste your pat-jj API key in the key dialog (or deploy the open weights for self-hostable models), assign s3-8-3-3-20steps to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by pat-jj on September 29, 2025. Source: https://huggingface.co/pat-jj/s3-8-3-3-20steps