GLM-4.7-REAP-265B-mixed-AutoRound
GLM-4.7-REAP-265B-mixed-AutoRound (AImhotep, 2026) is a 265 billion parameter chat model. GLM-4.7-REAP-265B-mixed-AutoRound is an open-weights chat model with roughly 265 billion parameters.
by AImhotep · 265B parameters
Best for
Ways to use GLM-4.7-REAP-265B-mixed-AutoRound in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AImhotep API key. osFoundry discovers GLM-4.7-REAP-265B-mixed-AutoRound 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-REAP-265B-mixed-AutoRound 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.
What hardware can run GLM-4.7-REAP-265B-mixed-AutoRound
GLM-4.7-REAP-265B-mixed-AutoRound runs on a multi-GPU setup or H200 141GB at Q4 (~159 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~636 GB).
GLM-4.7-REAP-265B-mixed-AutoRound 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-REAP-265B-mixed-AutoRound
Is GLM-4.7-REAP-265B-mixed-AutoRound free to use?
GLM-4.7-REAP-265B-mixed-AutoRound 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-REAP-265B-mixed-AutoRound commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does GLM-4.7-REAP-265B-mixed-AutoRound need?
Approximately 159 GB at Q4 quantisation, or 636 GB at full FP16 precision. Requires multi-GPU at higher quantisation.
Can I run GLM-4.7-REAP-265B-mixed-AutoRound locally?
Yes. GLM-4.7-REAP-265B-mixed-AutoRound 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-REAP-265B-mixed-AutoRound best at?
GLM-4.7-REAP-265B-mixed-AutoRound is well-suited to text generation.
How do I use GLM-4.7-REAP-265B-mixed-AutoRound in osFoundry?
Paste your AImhotep API key in the key dialog (or deploy the open weights for self-hostable models), assign GLM-4.7-REAP-265B-mixed-AutoRound to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AImhotep on January 23, 2026. Source: https://huggingface.co/AImhotep/GLM-4.7-REAP-265B-mixed-AutoRound