Qwen3-Nemotron-32B-GenRM-Principle
Released by nvidia in 2025, Qwen3-Nemotron-32B-GenRM-Principle is a 32 billion parameter chat model. Qwen3-Nemotron-32B-GenRM-Principle is an open-weights chat model with roughly 32 billion parameters.
by nvidia · 32B parameters
Best for
Ways to use Qwen3-Nemotron-32B-GenRM-Principle in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your nvidia API key. osFoundry discovers Qwen3-Nemotron-32B-GenRM-Principle 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
Qwen3-Nemotron-32B-GenRM-Principle 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 Qwen3-Nemotron-32B-GenRM-Principle
Qwen3-Nemotron-32B-GenRM-Principle 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).
Qwen3-Nemotron-32B-GenRM-Principle vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwen3-Nemotron-32B-GenRM-Principle
Is Qwen3-Nemotron-32B-GenRM-Principle free to use?
Qwen3-Nemotron-32B-GenRM-Principle 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 Qwen3-Nemotron-32B-GenRM-Principle 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 Qwen3-Nemotron-32B-GenRM-Principle need?
Approximately 20 GB at Q4 quantisation, or 77 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Qwen3-Nemotron-32B-GenRM-Principle locally?
Yes. Qwen3-Nemotron-32B-GenRM-Principle is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwen3-Nemotron-32B-GenRM-Principle best at?
Qwen3-Nemotron-32B-GenRM-Principle is well-suited to text generation.
How do I use Qwen3-Nemotron-32B-GenRM-Principle in osFoundry?
Paste your nvidia API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen3-Nemotron-32B-GenRM-Principle to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by nvidia on October 12, 2025. Source: https://huggingface.co/nvidia/Qwen3-Nemotron-32B-GenRM-Principle