math-embed
math-embed is a embedding model from RobBobin, released March 6, 2026. math-embed is an open-weights embed model.
by RobBobin
Best for
Ways to use math-embed in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your RobBobin API key. osFoundry discovers math-embed 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
math-embed 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.
math-embed vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about math-embed
Is math-embed free to use?
math-embed 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 math-embed 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 math-embed locally?
Yes. math-embed is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is math-embed best at?
math-embed is well-suited to sentence similarity.
How do I use math-embed in osFoundry?
Paste your RobBobin API key in the key dialog (or deploy the open weights for self-hostable models), assign math-embed to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by RobBobin on March 6, 2026. Source: https://huggingface.co/RobBobin/math-embed