glm-muse-v7a
glm-muse-v7a is a chat model from MCult01, released May 1, 2026. glm-muse-v7a is an open-weights chat model.
by MCult01
Best for
Ways to use glm-muse-v7a in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your MCult01 API key. osFoundry discovers glm-muse-v7a 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-muse-v7a 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-muse-v7a vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about glm-muse-v7a
Is glm-muse-v7a free to use?
glm-muse-v7a 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-muse-v7a 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-muse-v7a locally?
Yes. glm-muse-v7a is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is glm-muse-v7a best at?
glm-muse-v7a is well-suited to text generation.
How do I use glm-muse-v7a in osFoundry?
Paste your MCult01 API key in the key dialog (or deploy the open weights for self-hostable models), assign glm-muse-v7a to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by MCult01 on May 1, 2026. Source: https://huggingface.co/MCult01/glm-muse-v7a