# Can I run DeepSeek-V2-Lite on Apple M5 (16GB)?

> **No, not enough memory.** Needs ~12.2 GB even at Q4_K_M, but only ~10.5 GB is usable.

Last validated: 2026-06-15.

## Memory math
- DeepSeek-V2-Lite: 16B (MoE, 2.4B active); Q4_K_M weighs 10.4 GB on disk.
- At Q4_K_M with a 4k context it needs ~12.2 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Apple M5 (16GB): 16 GB unified, ~10.5 GB usable for model weights.
- Headroom: ~-1.7 GB.

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

```sh
ollama run deepseek-v2:16b
```

## Run DeepSeek-V2-Lite on other devices
- [Nvidia GeForce RTX 4060 Ti (16GB)](https://localmodel.run/can-i-run/deepseek-v2-lite/nvidia-rtx-4060-ti-16gb)
- [Nvidia GeForce RTX 4080 (16GB)](https://localmodel.run/can-i-run/deepseek-v2-lite/nvidia-rtx-4080-16gb)
- [Apple M4 (24GB)](https://localmodel.run/can-i-run/deepseek-v2-lite/apple-m4-24gb)
- [Apple M4 Pro (24GB)](https://localmodel.run/can-i-run/deepseek-v2-lite/apple-m4-pro-24gb)
- [Nvidia GeForce RTX 4090 (24GB)](https://localmodel.run/can-i-run/deepseek-v2-lite/nvidia-rtx-4090-24gb)
- [Nvidia GeForce RTX 3090 (24GB)](https://localmodel.run/can-i-run/deepseek-v2-lite/nvidia-rtx-3090-24gb)

## Other models that run on Apple M5 (16GB)
- [Qwen2.5 Coder 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-coder-14b/apple-m5-16gb)
- [Mistral Nemo 12B (12.2B)](https://localmodel.run/can-i-run/mistral-nemo-12b/apple-m5-16gb)
- [Gemma 3 12B (12B)](https://localmodel.run/can-i-run/gemma-3-12b/apple-m5-16gb)
- [Llama 3.2 Vision 11B (10.7B)](https://localmodel.run/can-i-run/llama-3.2-vision-11b/apple-m5-16gb)
- [Falcon3 10B (10B)](https://localmodel.run/can-i-run/falcon3-10b/apple-m5-16gb)
- [Gemma 2 9B (9B)](https://localmodel.run/can-i-run/gemma-2-9b/apple-m5-16gb)

Estimate, not a guarantee. Sources: https://ollama.com/library/deepseek-v2, https://huggingface.co/deepseek-ai/DeepSeek-V2-Lite, https://huggingface.co/mradermacher/DeepSeek-V2-Lite-GGUF, https://github.com/deepseek-ai/DeepSeek-V2.
More: https://localmodel.run/can-i-run/deepseek-v2-lite/apple-m5-16gb