Can I Run DeepSeek R1 Distill Qwen 32B on a NVIDIA RTX 3090?
Runs at Q4_K_M — good quality with reasonable headroom.
1 quant fit your 24.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_MBEST | 20.9 GB | 22.4 GB | 19.9 GB | +3.1 GB |
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FAQ
Can the NVIDIA RTX 3090 run DeepSeek R1 Distill Qwen 32B?
Yes. The NVIDIA RTX 3090's 24.0GB of VRAM is enough to run DeepSeek R1 Distill Qwen 32B at Q4_K_M quantization (20.9GB required).
What's the best quantization to use?
Q4_K_M is the highest-precision quantization that fits in your 24.0GB. It uses about 20.9GB of memory and 22.4GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.