omura_emebd
omura_emebd is a embedding model from immortaltatsu, released April 13, 2026. omura_emebd is an open-weights embed model.
by immortaltatsu
Best for
Ways to use omura_emebd in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your immortaltatsu API key. osFoundry discovers omura_emebd 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
omura_emebd 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.
omura_emebd vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about omura_emebd
Is omura_emebd free to use?
omura_emebd 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 omura_emebd 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 omura_emebd locally?
Yes. omura_emebd is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is omura_emebd best at?
omura_emebd is well-suited to feature extraction.
How do I use omura_emebd in osFoundry?
Paste your immortaltatsu API key in the key dialog (or deploy the open weights for self-hostable models), assign omura_emebd to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by immortaltatsu on April 13, 2026. Source: https://huggingface.co/immortaltatsu/omura_emebd