Models › DeepSeek-R1-Distill-Qwen-14B
DeepSeek-R1-Distill-Qwen-14B: VRAM needs and speed by GPU
At Q4_K_M, DeepSeek-R1-Distill-Qwen-14B needs about 10.2 GB of VRAM. No measured runs yet. Speeds below are estimates. Submit a run.
14.77B parameters · 131,072-token context · GGUF published Jan 20, 2025 · GGUF files on Hugging Face
Memory needed per quantization
| Quant | File size | Needs (estimate) | Smallest card it fits |
|---|---|---|---|
| IQ2_XS | 4.7 GB | 5.9 GB | 8 GB cards |
| IQ2_S | 5.0 GB | 6.2 GB | 8 GB cards |
| IQ2_M | 5.4 GB | 6.5 GB | 8 GB cards |
| Q2_K | 5.8 GB | 6.9 GB | 8 GB cards |
| IQ3_XS | 6.4 GB | 7.6 GB | 12 GB cards |
| Q2_K_L | 6.5 GB | 7.7 GB | 12 GB cards |
| Q3_K_S | 6.7 GB | 7.8 GB | 12 GB cards |
| IQ3_M | 6.9 GB | 8.1 GB | 12 GB cards |
| Q3_K_M | 7.3 GB | 8.5 GB | 12 GB cards |
| Q3_K_L | 7.9 GB | 9.1 GB | 12 GB cards |
| IQ4_XS | 8.1 GB | 9.3 GB | 12 GB cards |
| Q4_0 | 8.5 GB | 9.7 GB | 12 GB cards |
| IQ4_NL | 8.5 GB | 9.7 GB | 12 GB cards |
| Q4_K_S | 8.6 GB | 9.7 GB | 12 GB cards |
| Q3_K_XL | 8.6 GB | 9.8 GB | 12 GB cards |
| Q4_K_M | 9.0 GB | 10.2 GB | 12 GB cards |
| Q4_1 | 9.4 GB | 10.6 GB | 12 GB cards |
| Q4_K_L | 9.6 GB | 10.7 GB | 12 GB cards |
| Q5_K_S | 10.3 GB | 11.4 GB | 12 GB cards |
| Q5_K_M | 10.5 GB | 11.7 GB | 16 GB cards |
| Q5_K_L | 11.0 GB | 12.2 GB | 16 GB cards |
| Q6_K | 12.1 GB | 13.3 GB | 16 GB cards |
| Q6_K_L | 12.5 GB | 13.7 GB | 16 GB cards |
| Q8_0 | 15.7 GB | 16.9 GB | 24 GB cards |
| F16 | 29.5 GB | 30.7 GB | 32 GB cards |
Expected speed on popular hardware
| Hardware | Best quant that fits | Expected tok/s |
|---|---|---|
| NVIDIA RTX 3060 | Q5_K_S | 30.0 estimate |
| NVIDIA RTX 4060 Ti | Q2_K | 42.4 estimate |
| NVIDIA RTX 3090 | Q8_0 | 41.8 estimate |
| NVIDIA RTX 4090 | Q8_0 | 46.3 estimate |
| NVIDIA RTX 5090 | Q8_0 | 73.1 estimate |
| AMD Radeon RX 7900 XTX | Q8_0 | 46.5 estimate |
| Apple M4 Pro (20-core GPU) (64 GB) | Q8_0 | 14.7 estimate |
| Apple M3 Max (40-core GPU) (64 GB) | Q8_0 | 21.5 estimate |
| AMD Ryzen AI Max+ 395 (Radeon 8060S) | Q8_0 | 13.2 estimate |
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