DeepSeek R1 Distill 14B is a 14.77B-parameter model. At Q4_K_M it needs about 9.7 GB of memory. The NVIDIA RTX 3090 24GB has 22 GB usable, so it fits entirely in memory. Expect about 62 tokens/sec (46–79), with the first token after 0.3 s for a short prompt. This estimate is based on community benchmarks of this exact setup.
| Quantization | File size | Memory | Generation | First token | Source |
|---|---|---|---|---|---|
| Q4_K_M | 9.0 GB | Fits | 62 tok/s | 0.3 s | Measured |
| Q8_0 | 15.7 GB | Fits | 24 tok/s | 0.3 s | Derived |
| FP16 | 29.6 GB | Partial offload | 5.4 tok/s | 1.3 s | Projected |
All models on the NVIDIA RTX 3090 24GB · DeepSeek R1 Distill 14B on all hardware
Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.