# Can I run GLM-4 9B on Apple M4 Pro (24GB)?

> **Yes, it runs.** Runs at Q4_K_M using ~7.3 GB of ~16 GB usable. You have room for Q8_0 for higher quality.

Last validated: 2026-06-15.

## Memory math
- GLM-4 9B: 9B; Q4_K_M weighs 5.82 GB on disk.
- At Q4_K_M with a 4k context it needs ~7.3 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Apple M4 Pro (24GB): 24 GB unified, ~16 GB usable for model weights.
- Headroom: ~8.7 GB; it also fits Q8_0 for higher quality.

## How to run
Recommended quant: Q4_K_M. Best tool on macOS: LM Studio.

```sh
ollama run glm4:9b
```

## Run GLM-4 9B on other devices
- [Nvidia GeForce RTX 3060 (12GB)](https://localmodel.run/can-i-run/glm-4-9b/nvidia-rtx-3060-12gb)
- [Nvidia GeForce RTX 4070 (12GB)](https://localmodel.run/can-i-run/glm-4-9b/nvidia-rtx-4070-12gb)
- [Samsung Galaxy S24 Ultra](https://localmodel.run/can-i-run/glm-4-9b/samsung-s24-ultra)
- [Generic Android Phone (12GB RAM)](https://localmodel.run/can-i-run/glm-4-9b/android-generic-12gb)
- [iPhone 17 Pro](https://localmodel.run/can-i-run/glm-4-9b/iphone-17-pro)
- [iPhone Air](https://localmodel.run/can-i-run/glm-4-9b/iphone-air)

## Other models that run on Apple M4 Pro (24GB)
- [gpt-oss 20B (21B)](https://localmodel.run/can-i-run/gpt-oss-20b/apple-m4-pro-24gb)
- [DeepSeek-V2-Lite (16B)](https://localmodel.run/can-i-run/deepseek-v2-lite/apple-m4-pro-24gb)
- [Phi-4 14B (14B)](https://localmodel.run/can-i-run/phi-4-14b/apple-m4-pro-24gb)
- [Qwen2.5 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-14b/apple-m4-pro-24gb)
- [Qwen3 14B (14B)](https://localmodel.run/can-i-run/qwen3-14b/apple-m4-pro-24gb)
- [DeepSeek-R1-Distill-Qwen 14B (14B)](https://localmodel.run/can-i-run/deepseek-r1-distill-qwen-14b/apple-m4-pro-24gb)

Estimate, not a guarantee. Sources: https://ollama.com/library/glm4, https://ollama.com/library/glm4/tags, https://huggingface.co/bartowski/glm-4-9b-chat-GGUF, https://huggingface.co/THUDM/glm-4-9b-chat.
More: https://localmodel.run/can-i-run/glm-4-9b/apple-m4-pro-24gb