RTX 4090 meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4090 can run deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B with Q4 quantization. At approximately 194 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 21GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 3GB | 24GB | 194.42 tok/s | ✅ Fits comfortably |
| Q8 | 5GB | 24GB | 122.07 tok/s | ✅ Fits comfortably |
| FP16 | 11GB | 24GB | 74.32 tok/s | ✅ Fits comfortably |