Qwen2D-VAE
Released by Anzhc in 2026, Qwen2D-VAE is an chat model. Qwen2D-VAE is an open-weights chat model.
by Anzhc
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Qwen2D-VAE in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Anzhc API key. osFoundry discovers Qwen2D-VAE 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
Qwen2D-VAE 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.
Qwen2D-VAE vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| Qwen2D-VAE | Anzhc | — | — | Free (local) | Yes |
| mg_bidirectional_zelda | mignonjia | — | — | Free (local) | Yes |
| Fin-R1 | SUFE-AIFLM-Lab | — | — | Free (local) | Yes |
| F5-Spanish | jpgallegoar | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwen2D-VAE
Is Qwen2D-VAE free to use?
Qwen2D-VAE 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 Qwen2D-VAE 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 Qwen2D-VAE locally?
Yes. Qwen2D-VAE is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwen2D-VAE best at?
Qwen2D-VAE is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Qwen2D-VAE in osFoundry?
Paste your Anzhc API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen2D-VAE to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Anzhc on April 17, 2026. Source: https://huggingface.co/Anzhc/Qwen2D-VAE