Text model · DeepSeek-R1-Distill
DeepSeek-R1-Distill-Qwen 14B requirements
DeepSeek-R1-Distill family · 14B params · released Jan 2025 · 79.3M Ollama pulls. Minimum to run at Q4_K_M: Nvidia GeForce RTX 3060 (12GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 5.9 GB est |
| Q3_K_M | 6.8 GB est |
| Q4_K_M (default) | 8.99 GB |
| Q5_K_M | 10 GB est |
| Q6_K | 11.5 GB est |
| Q8_0 | 15.7 GB |
| FP16 | 28 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run deepseek-r1:14b llama-cli -hf bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M lms get bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF Which devices can run DeepSeek-R1-Distill-Qwen 14B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does DeepSeek-R1-Distill-Qwen 14B need?
At Q4_K_M, DeepSeek-R1-Distill-Qwen 14B needs about 10.7 GB (weights ~8.99 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~17.4 GB.
Can DeepSeek-R1-Distill-Qwen 14B run on a laptop?
DeepSeek-R1-Distill-Qwen 14B is large; you need a 24 GB+ GPU or a 32-48 GB Mac at Q4_K_M.
Can I use DeepSeek-R1-Distill-Qwen 14B commercially?
Yes. DeepSeek-R1-Distill-Qwen 14B is licensed MIT, which permits commercial use.
Distilled from DeepSeek-R1 onto Qwen2.5-14B base. Released 2025-01-20. Q4_K_M=8.99GB, Q8_0=15.70GB from bartowski HF repo. Ollama shows 9.0GB. Context 128K.
Sources
Memory figures are estimates. See methodology.