# DeepSeek-V4-Pro: RAM and VRAM requirements

> DeepSeek-V4-Pro is a 1600B DeepSeek-V4 model (Mixture-of-Experts, 49B active per token). At Q4_K_M it needs about **965 GB** to run and fits **0 of 40** tracked devices. Minimum to run: high-memory hardware.

Last validated: 2026-08-03. Sources: Ollama, HuggingFace GGUF repos, vendor specs.

## Memory by quantization
| Quant | On disk | To run (4k context) |
| --- | --- | --- |
| Q4_K_M | 954.58 GB | ~965 GB |
| Q8_0 | 1671.82 GB | ~1682.2 GB |

Memory = weights + KV cache + ~0.8 GB runtime overhead, and varies ±15% with context length.

## Will it run on my device?
- **Apple M1 (8GB)** (8 GB): No, not enough memory
- **iPhone 17** (8 GB): No, not enough memory
- **iPhone 17 Pro** (12 GB): No, not enough memory
- **16GB RAM Laptop (CPU/iGPU only)** (16 GB): No, not enough memory
- **Google Pixel 10 Pro** (16 GB): No, not enough memory
- **Nvidia GeForce RTX 3090 (24GB)** (24 GB): No, not enough memory
- **Apple M4 Pro (48GB)** (48 GB): No, not enough memory
- **Apple M3 Ultra (256GB)** (256 GB): No, not enough memory

Full table of all 40 devices: https://localmodel.run/model/deepseek-v4-pro

## How to run
Use LM Studio (Mac/Windows) or Ollama / vLLM (Linux).

## Details
- Parameters: 1600B (MoE, 49B active per token)
- Default context: 1000k tokens
- License: MIT (commercial use: yes)
- Released: 2026-04
- HuggingFace: 1,596,582 downloads/mo, 5370 likes

## FAQ
### How much VRAM or RAM does DeepSeek-V4-Pro need?
About 965 GB at Q4_K_M (weights 954.58 GB + KV cache + overhead) at a 4k context. Budget ~1682.2 GB for Q8_0.
### Can DeepSeek-V4-Pro run on a laptop?
DeepSeek-V4-Pro is large; you need a high-memory Mac or a 24 GB+ GPU at Q4_K_M.
### Can I use DeepSeek-V4-Pro commercially?
Yes, MIT permits commercial use.

Sources: https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro, https://huggingface.co/teamblobfish/DeepSeek-V4-Pro-GGUF
More: https://localmodel.run/model/deepseek-v4-pro