Qwopus3.6-27B-v1-preview-INT4-FOEM
Qwopus3.6-27B-v1-preview-INT4-FOEM is a 27 billion parameter image-generation model from Xingyu-Zheng, released April 27, 2026. Qwopus3.6-27B-v1-preview-INT4-FOEM is an open-weights image model with roughly 27 billion parameters.
by Xingyu-Zheng · 27B parameters
Best for
Ways to use Qwopus3.6-27B-v1-preview-INT4-FOEM in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Xingyu-Zheng API key. osFoundry discovers Qwopus3.6-27B-v1-preview-INT4-FOEM 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
Qwopus3.6-27B-v1-preview-INT4-FOEM 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.
What hardware can run Qwopus3.6-27B-v1-preview-INT4-FOEM
Qwopus3.6-27B-v1-preview-INT4-FOEM runs on a 24GB consumer or workstation GPU (~17 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~65 GB).
Qwopus3.6-27B-v1-preview-INT4-FOEM vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwopus3.6-27B-v1-preview-INT4-FOEM
Is Qwopus3.6-27B-v1-preview-INT4-FOEM free to use?
Qwopus3.6-27B-v1-preview-INT4-FOEM 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 Qwopus3.6-27B-v1-preview-INT4-FOEM commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does Qwopus3.6-27B-v1-preview-INT4-FOEM need?
Approximately 17 GB at Q4 quantisation, or 65 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Qwopus3.6-27B-v1-preview-INT4-FOEM locally?
Yes. Qwopus3.6-27B-v1-preview-INT4-FOEM is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwopus3.6-27B-v1-preview-INT4-FOEM best at?
Qwopus3.6-27B-v1-preview-INT4-FOEM is well-suited to image text to text.
How do I use Qwopus3.6-27B-v1-preview-INT4-FOEM in osFoundry?
Paste your Xingyu-Zheng API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwopus3.6-27B-v1-preview-INT4-FOEM to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Xingyu-Zheng on April 27, 2026. Source: https://huggingface.co/Xingyu-Zheng/Qwopus3.6-27B-v1-preview-INT4-FOEM