DeepSeek-R1 (70B Distill) has 70.6 billion parameters. At standard 4-bit quantization with 8K context, it needs roughly 49.3 GB of VRAM — weights plus cache and runtime overhead.
VRAM by quantization
| Precision | Weights | Cache/Buffer | Total VRAM |
|---|---|---|---|
| 2-bit (IQ2_XXS) | 22.6 GB | 8.5 GB | 33.1 GB |
| 4-bit (Q4_K_M) | 38.8 GB | 8.5 GB | 49.3 GB |
| 8-bit (Q8_0) | 74.1 GB | 8.5 GB | 84.6 GB |
| 16-bit (FP16) | 141.2 GB | 8.5 GB | 151.7 GB |
Which GPU can run DeepSeek-R1 (70B Distill) (at 4-bit)?
| GPU class | VRAM | DeepSeek-R1 (70B Distill) (49.3 GB) |
|---|---|---|
| 8 GB · RTX 5060 / 4060 | 8 GB | Won’t fit |
| 12 GB · RTX 5070 / 3060 | 12 GB | Won’t fit |
| 16 GB · RTX 5070 Ti / 4080 | 16 GB | Won’t fit |
| 24 GB · RTX 4090 / 3090 | 24 GB | Won’t fit |
| 32 GB · RTX 5090 | 32 GB | Won’t fit |
| 48 GB · 2×24 / RTX 6000 Ada | 48 GB | Tight |
| 128 GB · M-series / RTX Spark | 128 GB | Fits |
Llama-based reasoning distill with advanced chain-of-thought.
Get the exact number for your setup
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VRAM figures are reproducible estimates (weights + KV cache + overhead) and vary by runtime and quant format. Data current as of 2026-06-15.