embeddingmagibu-200m
embeddingmagibu-200m is a embedding model from alibayram, released January 19, 2026. embeddingmagibu-200m is an open-weights embed model.
by alibayram
Best for
Ways to use embeddingmagibu-200m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your alibayram API key. osFoundry discovers embeddingmagibu-200m 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
embeddingmagibu-200m 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.
embeddingmagibu-200m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about embeddingmagibu-200m
Is embeddingmagibu-200m free to use?
embeddingmagibu-200m 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 embeddingmagibu-200m 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 embeddingmagibu-200m locally?
Yes. embeddingmagibu-200m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is embeddingmagibu-200m best at?
embeddingmagibu-200m is well-suited to sentence similarity.
How do I use embeddingmagibu-200m in osFoundry?
Paste your alibayram API key in the key dialog (or deploy the open weights for self-hostable models), assign embeddingmagibu-200m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by alibayram on January 19, 2026. Source: https://huggingface.co/alibayram/embeddingmagibu-200m