GLM-4.7-GPTQ-Int4-Int8Mix
Built by QuantTrio, GLM-4.7-GPTQ-Int4-Int8Mix is an chat model. GLM-4.7-GPTQ-Int4-Int8Mix is an open-weights chat model.
by QuantTrio
Best for
Ways to use GLM-4.7-GPTQ-Int4-Int8Mix in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your QuantTrio API key. osFoundry discovers GLM-4.7-GPTQ-Int4-Int8Mix 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-4.7-GPTQ-Int4-Int8Mix 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-4.7-GPTQ-Int4-Int8Mix vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about GLM-4.7-GPTQ-Int4-Int8Mix
Is GLM-4.7-GPTQ-Int4-Int8Mix free to use?
GLM-4.7-GPTQ-Int4-Int8Mix 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-4.7-GPTQ-Int4-Int8Mix 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-4.7-GPTQ-Int4-Int8Mix locally?
Yes. GLM-4.7-GPTQ-Int4-Int8Mix is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is GLM-4.7-GPTQ-Int4-Int8Mix best at?
GLM-4.7-GPTQ-Int4-Int8Mix is well-suited to text generation.
How do I use GLM-4.7-GPTQ-Int4-Int8Mix in osFoundry?
Paste your QuantTrio API key in the key dialog (or deploy the open weights for self-hostable models), assign GLM-4.7-GPTQ-Int4-Int8Mix to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by QuantTrio on December 25, 2025. Source: https://huggingface.co/QuantTrio/GLM-4.7-GPTQ-Int4-Int8Mix