# Can I run Qwen2.5 14B on Apple M2 (16GB)?

> **No, not enough memory.** Needs ~10.7 GB even at Q4_K_M, but only ~10.5 GB is usable.

Last validated: 2026-06-15.

## Memory math
- Qwen2.5 14B: 14B; Q4_K_M weighs 8.99 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 M2 (16GB): 16 GB unified, ~10.5 GB usable for model weights.
- Headroom: ~-0.2 GB.

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

```sh
ollama run qwen2.5:14b
```

## Run Qwen2.5 14B on other devices
- [Nvidia GeForce RTX 3060 (12GB)](https://localmodel.run/can-i-run/qwen2.5-14b/nvidia-rtx-3060-12gb)
- [Nvidia GeForce RTX 4070 (12GB)](https://localmodel.run/can-i-run/qwen2.5-14b/nvidia-rtx-4070-12gb)
- [Nvidia GeForce RTX 4060 Ti (16GB)](https://localmodel.run/can-i-run/qwen2.5-14b/nvidia-rtx-4060-ti-16gb)
- [Nvidia GeForce RTX 4080 (16GB)](https://localmodel.run/can-i-run/qwen2.5-14b/nvidia-rtx-4080-16gb)
- [16GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/can-i-run/qwen2.5-14b/laptop-16gb)
- [iPad Pro M4 (16GB, 1TB/2TB config)](https://localmodel.run/can-i-run/qwen2.5-14b/ipad-pro-m4-16gb)

## Other models that run on Apple M2 (16GB)
- [Qwen2.5 Coder 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-coder-14b/apple-m2-16gb)
- [Mistral Nemo 12B (12.2B)](https://localmodel.run/can-i-run/mistral-nemo-12b/apple-m2-16gb)
- [Gemma 3 12B (12B)](https://localmodel.run/can-i-run/gemma-3-12b/apple-m2-16gb)
- [Llama 3.2 Vision 11B (10.7B)](https://localmodel.run/can-i-run/llama-3.2-vision-11b/apple-m2-16gb)
- [Falcon3 10B (10B)](https://localmodel.run/can-i-run/falcon3-10b/apple-m2-16gb)
- [Gemma 2 9B (9B)](https://localmodel.run/can-i-run/gemma-2-9b/apple-m2-16gb)

Estimate, not a guarantee. Sources: https://ollama.com/library/qwen2.5, https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-GGUF, https://qwenlm.github.io/blog/qwen2.5/.
More: https://localmodel.run/can-i-run/qwen2.5-14b/apple-m2-16gb