GLM-4.7-Flash_AWQ
GLM-4.7-Flash_AWQ is a chat model from TheHouseOfTheDude, released January 28, 2026. GLM-4.7-Flash_AWQ is an open-weights chat model.
by TheHouseOfTheDude
Best for
Ways to use GLM-4.7-Flash_AWQ in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your TheHouseOfTheDude API key. osFoundry discovers GLM-4.7-Flash_AWQ 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-Flash_AWQ 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-Flash_AWQ 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-Flash_AWQ
Is GLM-4.7-Flash_AWQ free to use?
GLM-4.7-Flash_AWQ 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-Flash_AWQ 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-Flash_AWQ locally?
Yes. GLM-4.7-Flash_AWQ 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-Flash_AWQ best at?
GLM-4.7-Flash_AWQ is well-suited to text generation.
How do I use GLM-4.7-Flash_AWQ in osFoundry?
Paste your TheHouseOfTheDude API key in the key dialog (or deploy the open weights for self-hostable models), assign GLM-4.7-Flash_AWQ to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by TheHouseOfTheDude on January 28, 2026. Source: https://huggingface.co/TheHouseOfTheDude/GLM-4.7-Flash_AWQ