stat_pool_mean_std
jsprin18's stat_pool_mean_std is a chat model. stat_pool_mean_std is an open-weights chat model.
by jsprin18
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use stat_pool_mean_std in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your jsprin18 API key. osFoundry discovers stat_pool_mean_std 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
stat_pool_mean_std 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.
stat_pool_mean_std vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about stat_pool_mean_std
Is stat_pool_mean_std free to use?
stat_pool_mean_std 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 stat_pool_mean_std 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 stat_pool_mean_std locally?
Yes. stat_pool_mean_std is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is stat_pool_mean_std best at?
stat_pool_mean_std is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use stat_pool_mean_std in osFoundry?
Paste your jsprin18 API key in the key dialog (or deploy the open weights for self-hostable models), assign stat_pool_mean_std to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by jsprin18 on April 27, 2026. Source: https://huggingface.co/jsprin18/stat_pool_mean_std