DeepSeek R1 (671B) — VRAM Requirements
作者： Jakub Rusinowski · 最后更新： 2026年7月21日
How much GPU VRAM you need to run DeepSeek R1 DeepSeek R1 (671B) by DeepSeek locally, a 671B-parameter model. Figures are quantized weights + KV cache + framework overhead from a memory-bandwidth roofline model.
DeepSeek R1 (671B) needs about 406 GB VRAM at Q4_K_M.
VRAM by Quantization
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 220.6 GB | 221.4 GB |
| Q3_K_M | 3.41 | 286.0 GB | 286.8 GB |
| Q4_K_M | 4.83 | 405.1 GB | 405.9 GB |
| Q5_K_M | 5.67 | 475.6 GB | 476.4 GB |
| Q6_K | 6.56 | 550.2 GB | 551.0 GB |
| Q8_0 | 8.50 | 712.9 GB | 713.7 GB |
| F16 | 16.00 | 1342.0 GB | 1342.8 GB |
Switch quantization in the interactive calculator, or see the full DeepSeek R1 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-r1-671b)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.