# Can I run DeepSeek-V2-Lite on 16GB RAM Laptop (CPU/iGPU only)?

> **No, not enough memory.** Needs ~12.2 GB even at Q4_K_M, but only ~12 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).
- 16GB RAM Laptop (CPU/iGPU only): 16 GB ram, ~12 GB usable for model weights.
- Headroom: ~-0.2 GB.

## How to run
Recommended quant: n/a. Best tool on Windows: 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 16GB RAM Laptop (CPU/iGPU only)
- [Phi-4 14B (14B)](https://localmodel.run/can-i-run/phi-4-14b/laptop-16gb)
- [Qwen2.5 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-14b/laptop-16gb)
- [Qwen3 14B (14B)](https://localmodel.run/can-i-run/qwen3-14b/laptop-16gb)
- [DeepSeek-R1-Distill-Qwen 14B (14B)](https://localmodel.run/can-i-run/deepseek-r1-distill-qwen-14b/laptop-16gb)
- [Qwen2.5 Coder 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-coder-14b/laptop-16gb)
- [Mistral Nemo 12B (12.2B)](https://localmodel.run/can-i-run/mistral-nemo-12b/laptop-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/laptop-16gb