unitok_mllm
Released by FoundationVision in 2025, unitok_mllm is an chat model. unitok_mllm is an open-weights chat model.
by FoundationVision
Best for
Ways to use unitok_mllm in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your FoundationVision API key. osFoundry discovers unitok_mllm 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
unitok_mllm 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.
unitok_mllm vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about unitok_mllm
Is unitok_mllm free to use?
unitok_mllm 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 unitok_mllm 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 unitok_mllm locally?
Yes. unitok_mllm is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is unitok_mllm best at?
unitok_mllm is well-suited to any to any.
How do I use unitok_mllm in osFoundry?
Paste your FoundationVision API key in the key dialog (or deploy the open weights for self-hostable models), assign unitok_mllm to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by FoundationVision on April 2, 2025. Source: https://huggingface.co/FoundationVision/unitok_mllm