DeepSeek V3.2 671B — VRAM Requirements
Written by Jakub Rusinowski · Last updated February 28, 2026
How much GPU VRAM you need to run DeepSeek V3.2 DeepSeek V3.2 671B by DeepSeek locally, a 671B-parameter model. Figures are quantized weights + KV cache + framework overhead, computed from the model's parameter count and published architecture — not a throughput model. See /en/methodology.
DeepSeek V3.2 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 | 222.0 GB |
| Q3_K_M | 3.41 | 286.0 GB | 287.4 GB |
| Q4_K_M | 4.83 | 405.1 GB | 406.5 GB |
| Q5_K_M | 5.67 | 475.6 GB | 476.9 GB |
| Q6_K | 6.56 | 550.2 GB | 551.6 GB |
| Q8_0 | 8.50 | 712.9 GB | 714.3 GB |
| F16 | 16.00 | 1342.0 GB | 1343.4 GB |
Switch quantization in the interactive calculator, or see the full DeepSeek V3.2 model page.
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[](https://llmconfigurator.com/en/vram-calculator/deepseek-v3-2-671b?utm_source=badge&utm_medium=referral&utm_campaign=readme_badge&utm_content=deepseek-v3-2-671b)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.