babylm_2025_submission_strict-small2
babylm_2025_submission_strict-small2 (PatrickHaller, 2025) is an chat model. babylm_2025_submission_strict-small2 is an open-weights chat model.
by PatrickHaller
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use babylm_2025_submission_strict-small2 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your PatrickHaller API key. osFoundry discovers babylm_2025_submission_strict-small2 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
babylm_2025_submission_strict-small2 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.
babylm_2025_submission_strict-small2 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about babylm_2025_submission_strict-small2
Is babylm_2025_submission_strict-small2 free to use?
babylm_2025_submission_strict-small2 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 babylm_2025_submission_strict-small2 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 babylm_2025_submission_strict-small2 locally?
Yes. babylm_2025_submission_strict-small2 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is babylm_2025_submission_strict-small2 best at?
babylm_2025_submission_strict-small2 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use babylm_2025_submission_strict-small2 in osFoundry?
Paste your PatrickHaller API key in the key dialog (or deploy the open weights for self-hostable models), assign babylm_2025_submission_strict-small2 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by PatrickHaller on August 15, 2025. Source: https://huggingface.co/PatrickHaller/babylm_2025_submission_strict-small2