qwen3-llava
qwen3-llava is a chat model from junchao-cuhk, released April 25, 2026. qwen3-llava is an open-weights chat model.
by junchao-cuhk
Best for
Ways to use qwen3-llava in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your junchao-cuhk API key. osFoundry discovers qwen3-llava 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
qwen3-llava 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.
qwen3-llava vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qwen3-llava
Is qwen3-llava free to use?
qwen3-llava 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 qwen3-llava 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 qwen3-llava locally?
Yes. qwen3-llava is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qwen3-llava best at?
qwen3-llava is well-suited to text generation.
How do I use qwen3-llava in osFoundry?
Paste your junchao-cuhk API key in the key dialog (or deploy the open weights for self-hostable models), assign qwen3-llava to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by junchao-cuhk on April 25, 2026. Source: https://huggingface.co/junchao-cuhk/qwen3-llava