st4fe1
tom21238's st4fe1 is a chat model. st4fe1 is an open-weights chat model.
by tom21238
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use st4fe1 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your tom21238 API key. osFoundry discovers st4fe1 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
st4fe1 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.
st4fe1 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about st4fe1
Is st4fe1 free to use?
st4fe1 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 st4fe1 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 st4fe1 locally?
Yes. st4fe1 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is st4fe1 best at?
st4fe1 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use st4fe1 in osFoundry?
Paste your tom21238 API key in the key dialog (or deploy the open weights for self-hostable models), assign st4fe1 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by tom21238 on April 14, 2026. Source: https://huggingface.co/tom21238/st4fe1