milco-650m
omai-research's milco-650m is a embedding model. milco-650m is an open-weights embed model.
by omai-research
Best for
Ways to use milco-650m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your omai-research API key. osFoundry discovers milco-650m 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
milco-650m 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.
milco-650m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about milco-650m
Is milco-650m free to use?
milco-650m 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 milco-650m 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 milco-650m locally?
Yes. milco-650m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is milco-650m best at?
milco-650m is well-suited to feature extraction.
How do I use milco-650m in osFoundry?
Paste your omai-research API key in the key dialog (or deploy the open weights for self-hostable models), assign milco-650m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by omai-research on March 26, 2026. Source: https://huggingface.co/omai-research/milco-650m