# Can I run Qwen3 14B on Apple M4 (24GB)?

> **Yes, it runs.** Runs at Q4_K_M using ~10.7 GB of ~16 GB usable.

Last validated: 2026-06-15.

## Memory math
- Qwen3 14B: 14B; Q4_K_M weighs 9 GB on disk.
- At Q4_K_M with a 4k context it needs ~10.7 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: ~5.3 GB.

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

```sh
ollama run qwen3:14b
```

## Run Qwen3 14B on other devices
- [Nvidia GeForce RTX 3060 (12GB)](https://localmodel.run/can-i-run/qwen3-14b/nvidia-rtx-3060-12gb)
- [Nvidia GeForce RTX 4070 (12GB)](https://localmodel.run/can-i-run/qwen3-14b/nvidia-rtx-4070-12gb)
- [Nvidia GeForce RTX 4060 Ti (16GB)](https://localmodel.run/can-i-run/qwen3-14b/nvidia-rtx-4060-ti-16gb)
- [Nvidia GeForce RTX 4080 (16GB)](https://localmodel.run/can-i-run/qwen3-14b/nvidia-rtx-4080-16gb)
- [16GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/can-i-run/qwen3-14b/laptop-16gb)
- [iPad Pro M4 (16GB, 1TB/2TB config)](https://localmodel.run/can-i-run/qwen3-14b/ipad-pro-m4-16gb)

## 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)
- [DeepSeek-R1-Distill-Qwen 14B (14B)](https://localmodel.run/can-i-run/deepseek-r1-distill-qwen-14b/apple-m4-24gb)
- [Qwen2.5 Coder 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-coder-14b/apple-m4-24gb)

Estimate, not a guarantee. Sources: https://ollama.com/library/qwen3/tags, https://huggingface.co/Qwen/Qwen3-14B-GGUF, https://qwenlm.github.io/blog/qwen3/.
More: https://localmodel.run/can-i-run/qwen3-14b/apple-m4-24gb