bge-m3-stsb
bge-m3-stsb is a embedding model from newmindai, released January 16, 2026. bge-m3-stsb is an open-weights embed model.
by newmindai
Best for
Ways to use bge-m3-stsb in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your newmindai API key. osFoundry discovers bge-m3-stsb 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
bge-m3-stsb 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.
bge-m3-stsb vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about bge-m3-stsb
Is bge-m3-stsb free to use?
bge-m3-stsb 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 bge-m3-stsb 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 bge-m3-stsb locally?
Yes. bge-m3-stsb is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is bge-m3-stsb best at?
bge-m3-stsb is well-suited to sentence similarity.
How do I use bge-m3-stsb in osFoundry?
Paste your newmindai API key in the key dialog (or deploy the open weights for self-hostable models), assign bge-m3-stsb to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by newmindai on January 16, 2026. Source: https://huggingface.co/newmindai/bge-m3-stsb