GLM-5-NVFP4
Built by nvidia, GLM-5-NVFP4 is an chat model. GLM-5-NVFP4 is an open-weights chat model.
by nvidia
Best for
Ways to use GLM-5-NVFP4 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your nvidia API key. osFoundry discovers GLM-5-NVFP4 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
GLM-5-NVFP4 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.
GLM-5-NVFP4 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about GLM-5-NVFP4
Is GLM-5-NVFP4 free to use?
GLM-5-NVFP4 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 GLM-5-NVFP4 commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run GLM-5-NVFP4 locally?
Yes. GLM-5-NVFP4 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is GLM-5-NVFP4 best at?
GLM-5-NVFP4 is well-suited to text generation.
How do I use GLM-5-NVFP4 in osFoundry?
Paste your nvidia API key in the key dialog (or deploy the open weights for self-hostable models), assign GLM-5-NVFP4 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 February 24, 2026. Source: https://huggingface.co/nvidia/GLM-5-NVFP4