Text model · DeepSeek-R1-Distill
DeepSeek-R1-Distill-Qwen 7B requirements
DeepSeek-R1-Distill family · 7B 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 | 2.9 GB est |
| Q3_K_M | 3.4 GB est |
| Q4_K_M (default) | 4.68 GB |
| Q5_K_M | 5 GB est |
| Q6_K | 5.7 GB est |
| Q8_0 | 8.1 GB |
| FP16 | 14 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run deepseek-r1:7b llama-cli -hf bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M lms get bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF Which devices can run DeepSeek-R1-Distill-Qwen 7B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does DeepSeek-R1-Distill-Qwen 7B need?
At Q4_K_M, DeepSeek-R1-Distill-Qwen 7B needs about 6.1 GB (weights ~4.68 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~9.5 GB.
Can DeepSeek-R1-Distill-Qwen 7B run on a laptop?
Yes, DeepSeek-R1-Distill-Qwen 7B fits on a 16 GB machine at Q4_K_M and runs on Apple Silicon or a 12 GB+ GPU comfortably.
Can I use DeepSeek-R1-Distill-Qwen 7B commercially?
Yes. DeepSeek-R1-Distill-Qwen 7B is licensed MIT, which permits commercial use.
Distilled from DeepSeek-R1 onto Qwen2.5-7B base. Released 2025-01-20. Q4_K_M=4.68GB, Q8_0=8.10GB from bartowski HF repo. Ollama shows 4.7GB. Context 128K.
Sources
Memory figures are estimates. See methodology.