Qwopus3.5-27B-3.5_IQ4_XS
SemKara's Qwopus3.5-27B-3.5_IQ4_XS packs 27 billion parameters into a chat model. Qwopus3.5-27B-3.5_IQ4_XS is an open-weights chat model with roughly 27 billion parameters.
by SemKara · 27B parameters
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Qwopus3.5-27B-3.5_IQ4_XS in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your SemKara API key. osFoundry discovers Qwopus3.5-27B-3.5_IQ4_XS 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
Qwopus3.5-27B-3.5_IQ4_XS 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 Qwopus3.5-27B-3.5_IQ4_XS
Qwopus3.5-27B-3.5_IQ4_XS 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).
Qwopus3.5-27B-3.5_IQ4_XS vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwopus3.5-27B-3.5_IQ4_XS
Is Qwopus3.5-27B-3.5_IQ4_XS free to use?
Qwopus3.5-27B-3.5_IQ4_XS 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 Qwopus3.5-27B-3.5_IQ4_XS 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 Qwopus3.5-27B-3.5_IQ4_XS need?
Approximately 17 GB at Q4 quantisation, or 65 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Qwopus3.5-27B-3.5_IQ4_XS locally?
Yes. Qwopus3.5-27B-3.5_IQ4_XS is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwopus3.5-27B-3.5_IQ4_XS best at?
Qwopus3.5-27B-3.5_IQ4_XS is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Qwopus3.5-27B-3.5_IQ4_XS in osFoundry?
Paste your SemKara API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwopus3.5-27B-3.5_IQ4_XS to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by SemKara on April 21, 2026. Source: https://huggingface.co/SemKara/Qwopus3.5-27B-3.5_IQ4_XS