# Can I run Qwen3 32B on Apple M4 (24GB)?

> **No, not enough memory.** Needs ~22 GB even at Q4_K_M, but only ~16 GB is usable.

Last validated: 2026-06-15.

## Memory math
- Qwen3 32B: 32B; Q4_K_M weighs 19.8 GB on disk.
- At Q4_K_M with a 4k context it needs ~22 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Apple M4 (24GB): 24 GB unified, ~16 GB usable for model weights.
- Headroom: ~-6 GB.

## How to run
Recommended quant: n/a. Best tool on macOS: LM Studio.

```sh
ollama run qwen3:32b
```

## Run Qwen3 32B on other devices
- [Nvidia GeForce RTX 4090 (24GB)](https://localmodel.run/can-i-run/qwen3-32b/nvidia-rtx-4090-24gb)
- [Nvidia GeForce RTX 3090 (24GB)](https://localmodel.run/can-i-run/qwen3-32b/nvidia-rtx-3090-24gb)
- [AMD Radeon RX 7900 XTX (24GB)](https://localmodel.run/can-i-run/qwen3-32b/amd-rx-7900-xtx-24gb)
- [Nvidia GeForce RTX 5090 (32GB)](https://localmodel.run/can-i-run/qwen3-32b/nvidia-rtx-5090-32gb)
- [32GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/can-i-run/qwen3-32b/laptop-32gb)
- [Apple M4 Pro (48GB)](https://localmodel.run/can-i-run/qwen3-32b/apple-m4-pro-48gb)

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

Estimate, not a guarantee. Sources: https://ollama.com/library/qwen3/tags, https://huggingface.co/Qwen/Qwen3-32B-GGUF, https://qwenlm.github.io/blog/qwen3/, https://lmarena.ai/leaderboard.
More: https://localmodel.run/can-i-run/qwen3-32b/apple-m4-24gb