DeepSeek V4-Pro — VRAM Requirements
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026
How much GPU VRAM you need to run DeepSeek V4 DeepSeek V4-Pro by DeepSeek locally, a 1600B-parameter model. Figures are quantized weights + KV cache + framework overhead from a memory-bandwidth roofline model.
DeepSeek V4-Pro needs about 967 GB VRAM at Q4_K_M.
VRAM by Quantization
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 526.0 GB | 526.8 GB |
| Q3_K_M | 3.41 | 682.0 GB | 682.8 GB |
| Q4_K_M | 4.83 | 966.0 GB | 966.8 GB |
| Q5_K_M | 5.67 | 1134.0 GB | 1134.8 GB |
| Q6_K | 6.56 | 1312.0 GB | 1312.8 GB |
| Q8_0 | 8.50 | 1700.0 GB | 1700.8 GB |
| F16 | 16.00 | 3200.0 GB | 3200.8 GB |
Switch quantization in the interactive calculator, or see the full DeepSeek V4 model page.
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Model creators: paste this into your Hugging Face model card README to link readers straight to this VRAM breakdown.
[](https://llmconfigurator.com/en/vram-calculator/deepseek-v4-pro-verified)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.