GLM-5_4layer
Built by Pinaster, GLM-5_4layer is an chat model. GLM-5_4layer is an open-weights chat model.
by Pinaster
Best for
Ways to use GLM-5_4layer in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Pinaster API key. osFoundry discovers GLM-5_4layer 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_4layer 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_4layer 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_4layer
Is GLM-5_4layer free to use?
GLM-5_4layer 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_4layer 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_4layer locally?
Yes. GLM-5_4layer is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is GLM-5_4layer best at?
GLM-5_4layer is well-suited to text generation.
How do I use GLM-5_4layer in osFoundry?
Paste your Pinaster API key in the key dialog (or deploy the open weights for self-hostable models), assign GLM-5_4layer to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Pinaster on February 21, 2026. Source: https://huggingface.co/Pinaster/GLM-5_4layer