WorldPM-72B-HelpSteer2
WorldPM-72B-HelpSteer2 (Qwen, 2025) is a 72 billion parameter chat model. WorldPM-72B-HelpSteer2 is an open-weights chat model with roughly 72 billion parameters.
by Qwen · 72B parameters
Best for
Ways to use WorldPM-72B-HelpSteer2 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Qwen API key. osFoundry discovers WorldPM-72B-HelpSteer2 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
WorldPM-72B-HelpSteer2 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 WorldPM-72B-HelpSteer2
WorldPM-72B-HelpSteer2 runs on a single A100 80GB or H100 80GB at Q4 quantisation (~44 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~173 GB).
WorldPM-72B-HelpSteer2 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about WorldPM-72B-HelpSteer2
Is WorldPM-72B-HelpSteer2 free to use?
WorldPM-72B-HelpSteer2 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 WorldPM-72B-HelpSteer2 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 WorldPM-72B-HelpSteer2 need?
Approximately 44 GB at Q4 quantisation, or 173 GB at full FP16 precision. Fits on a single A100/H100 80GB.
Can I run WorldPM-72B-HelpSteer2 locally?
Yes. WorldPM-72B-HelpSteer2 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is WorldPM-72B-HelpSteer2 best at?
WorldPM-72B-HelpSteer2 is well-suited to text classification.
How do I use WorldPM-72B-HelpSteer2 in osFoundry?
Paste your Qwen API key in the key dialog (or deploy the open weights for self-hostable models), assign WorldPM-72B-HelpSteer2 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Qwen on May 16, 2025. Source: https://huggingface.co/Qwen/WorldPM-72B-HelpSteer2