GLM-4.5-FP8
GLM-4.5-FP8 is a chat model from zai-org, released July 20, 2025. GLM-4.5-FP8 is an open-weights chat model.
by zai-org
Best for
Ways to use GLM-4.5-FP8 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your zai-org API key. osFoundry discovers GLM-4.5-FP8 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-4.5-FP8 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-4.5-FP8 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about GLM-4.5-FP8
Is GLM-4.5-FP8 free to use?
GLM-4.5-FP8 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-4.5-FP8 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-4.5-FP8 locally?
Yes. GLM-4.5-FP8 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is GLM-4.5-FP8 best at?
GLM-4.5-FP8 is well-suited to text generation.
How do I use GLM-4.5-FP8 in osFoundry?
Paste your zai-org API key in the key dialog (or deploy the open weights for self-hostable models), assign GLM-4.5-FP8 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by zai-org on July 20, 2025. Source: https://huggingface.co/zai-org/GLM-4.5-FP8