GLM-4.7 / GLM-Z1 — Local AI Model by Zhipu AI

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 10 lipca 2026

Zhipu AI's February 2026 MoE model. GLM-4.7 uses a 32B active MoE architecture and scores on par with Claude Opus 4.5 on hallucination leaderboards. The reasoning-focused GLM-Z1 variant posts near-GPT-5.2 scores on the Artificial Intelligence Index. Strong multilingual support with particular depth in Chinese.

Hardware Requirements

GLM-4.7 9B	Min 6 GB VRAM · Q4_K_M · 128,000 ctx · `ollama run glm4:9b`
GLM-Z1 32B (Reasoning)	Min 20 GB VRAM · Q4_K_M · 128,000 ctx · `ollama run glm-z1:32b`

Recommended GPU

The cheapest GPU that runs GLM-4.7 / GLM-Z1 locally (min 6 GB VRAM) is the Intel Arc B570 (10 GB).

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

Intel Arc B570 10GB

Sugerowana cena premierowa: $219

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

How to Run Locally

Install Ollama then run: ollama run glm4:9b

Minimum VRAM: 6 GB. For best results use Q4_K_M quantization.

GLM-4.7 / GLM-Z1 — Frequently Asked Questions

How much VRAM does GLM-4.7 / GLM-Z1 need?

GLM-4.7 / GLM-Z1 needs about 6 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: GLM-4.7 9B (6 GB, Q4_K_M); GLM-Z1 32B (Reasoning) (20 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run GLM-4.7 / GLM-Z1 on an RTX 4090 (24 GB)?

Yes — GLM-4.7 / GLM-Z1 runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.

What quantization should I use for GLM-4.7 / GLM-Z1?

Q4_K_M is the best balance of quality and VRAM for GLM-4.7 / GLM-Z1 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run GLM-4.7 / GLM-Z1 with Ollama?

Install Ollama, then run: ollama run glm4:9b. This downloads GLM-4.7 / GLM-Z1 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.