DeepSeek R1
DeepSeek R1 requires multi-GPU or server hardware. Precise VRAM thresholds and benchmarks below.
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
How to run this model
System Requirements
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 1610 GB | 1342 GB | Maximum |
| Q8 (high quality) | 805 GB | 671 GB | Near-lossless |
| Q4 (recommended) Best balance | 403 GB | 336 GB | Recommended |
| Q2 (minimum) | 201 GB | 168 GB | Quality loss |
Model Details
| Developer | DeepSeek |
| Parameters | 671B |
| Context window | 128,000 tokens |
| License | MIT |
| Use cases | reasoning, chat, coding, analysis |
| Released | 2025-01 |
Install with Ollama
ollama run deepseek-r1:671b Hugging Face
deepseek-ai/DeepSeek-R1 Can your GPU run DeepSeek R1?
DeepSeek R1 requires <strong class="text-error">403 GB VRAM</strong>. No current consumer GPU has enough VRAM for local inference — consider distilled variants.
Hardware Performance Matrix
0 Q4 native · 0 offload
| GPU Unit | VRAM | Compatibility | Est. Speed | Action |
|---|
DeepSeek R1 requires 403 GB VRAM (Q4)
No consumer GPU has enough VRAM for this model. Consider lighter alternatives or professional hardware.
DeepSeek R1 — Compatibility guide
DeepSeek R1 with 671B parameters only runs fully in multi-GPU or server configurations. Consider distilled versions if available. The VRAM calculator can help you find compatible alternatives.
Compatible Hardware
GPUs that run DeepSeek R1 at Q4 — sorted by AI performance score.
No consumer GPUs have enough VRAM for this model.
Consider distilled versions or Q2 quantization.
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More Practical Alternatives
Similar models in the chat category with comparable VRAM footprints.
Not sure which GPU you need for DeepSeek R1?
The VRAM Calculator tells you exactly which quantization your hardware can handle.