qmllm_unitok
Released by vincentchao in 2025, qmllm_unitok is an image-generation model. qmllm_unitok is an open-weights image model.
by vincentchao
Best for
Ways to use qmllm_unitok in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your vincentchao API key. osFoundry discovers qmllm_unitok 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
qmllm_unitok 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.
qmllm_unitok vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qmllm_unitok
Is qmllm_unitok free to use?
qmllm_unitok 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 qmllm_unitok 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 qmllm_unitok locally?
Yes. qmllm_unitok is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qmllm_unitok best at?
qmllm_unitok is well-suited to image text to text.
How do I use qmllm_unitok in osFoundry?
Paste your vincentchao API key in the key dialog (or deploy the open weights for self-hostable models), assign qmllm_unitok to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by vincentchao on November 24, 2025. Source: https://huggingface.co/vincentchao/qmllm_unitok