# Can I run DeepSeek R1 on Apple M4 Pro (24GB)?

> **No, not enough memory.** Needs ~383.7 GB even at Q4_K_M, but only ~16 GB is usable.

Last validated: 2026-06-15.

## Memory math
- DeepSeek R1: 671B (MoE, 37B active); Q4_K_M weighs 376.66 GB on disk.
- At Q4_K_M with a 4k context it needs ~383.7 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: ~-367.7 GB.

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

```sh
ollama run deepseek-r1:671b
```

## 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/deepseek-r1, https://ollama.com/library/deepseek-r1/tags, https://huggingface.co/unsloth/DeepSeek-R1-GGUF, https://huggingface.co/deepseek-ai/DeepSeek-R1.
More: https://localmodel.run/can-i-run/deepseek-r1/apple-m4-pro-24gb