RuadaptQwen2.5-32B-Pro-Beta
RuadaptQwen2.5-32B-Pro-Beta is a 32 billion parameter chat model from RefalMachine, released January 19, 2025. RuadaptQwen2.5-32B-Pro-Beta is an open-weights chat model with roughly 32 billion parameters.
by RefalMachine · 32B parameters
Best for
Ways to use RuadaptQwen2.5-32B-Pro-Beta in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your RefalMachine API key. osFoundry discovers RuadaptQwen2.5-32B-Pro-Beta 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
RuadaptQwen2.5-32B-Pro-Beta 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 RuadaptQwen2.5-32B-Pro-Beta
RuadaptQwen2.5-32B-Pro-Beta 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).
RuadaptQwen2.5-32B-Pro-Beta vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about RuadaptQwen2.5-32B-Pro-Beta
Is RuadaptQwen2.5-32B-Pro-Beta free to use?
RuadaptQwen2.5-32B-Pro-Beta 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 RuadaptQwen2.5-32B-Pro-Beta 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 RuadaptQwen2.5-32B-Pro-Beta need?
Approximately 20 GB at Q4 quantisation, or 77 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run RuadaptQwen2.5-32B-Pro-Beta locally?
Yes. RuadaptQwen2.5-32B-Pro-Beta is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is RuadaptQwen2.5-32B-Pro-Beta best at?
RuadaptQwen2.5-32B-Pro-Beta is well-suited to text generation.
How do I use RuadaptQwen2.5-32B-Pro-Beta in osFoundry?
Paste your RefalMachine API key in the key dialog (or deploy the open weights for self-hostable models), assign RuadaptQwen2.5-32B-Pro-Beta to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by RefalMachine on January 19, 2025. Source: https://huggingface.co/RefalMachine/RuadaptQwen2.5-32B-Pro-Beta