Cybus-Qwen3-32B-v2-agentic
Cybus-Qwen3-32B-v2-agentic (squaredcuber, 2026) is a 32 billion parameter chat model. Cybus-Qwen3-32B-v2-agentic is an open-weights chat model with roughly 32 billion parameters.
by squaredcuber · 32B parameters
Best for
Ways to use Cybus-Qwen3-32B-v2-agentic in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your squaredcuber API key. osFoundry discovers Cybus-Qwen3-32B-v2-agentic 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
Cybus-Qwen3-32B-v2-agentic 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 Cybus-Qwen3-32B-v2-agentic
Cybus-Qwen3-32B-v2-agentic runs on a 24GB consumer or workstation GPU (~20 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~77 GB).
Cybus-Qwen3-32B-v2-agentic vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Cybus-Qwen3-32B-v2-agentic
Is Cybus-Qwen3-32B-v2-agentic free to use?
Cybus-Qwen3-32B-v2-agentic 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 Cybus-Qwen3-32B-v2-agentic 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 Cybus-Qwen3-32B-v2-agentic need?
Approximately 20 GB at Q4 quantisation, or 77 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Cybus-Qwen3-32B-v2-agentic locally?
Yes. Cybus-Qwen3-32B-v2-agentic is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Cybus-Qwen3-32B-v2-agentic best at?
Cybus-Qwen3-32B-v2-agentic is well-suited to text generation.
How do I use Cybus-Qwen3-32B-v2-agentic in osFoundry?
Paste your squaredcuber API key in the key dialog (or deploy the open weights for self-hostable models), assign Cybus-Qwen3-32B-v2-agentic to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by squaredcuber on April 1, 2026. Source: https://huggingface.co/squaredcuber/Cybus-Qwen3-32B-v2-agentic