Text model · DeepSeek-R1-Distill
DeepSeek-R1-Distill-Llama 8B requirements
DeepSeek-R1-Distill family · 8B 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 | 3.4 GB est |
| Q3_K_M | 3.9 GB est |
| Q4_K_M (default) | 4.92 GB |
| Q5_K_M | 5.7 GB est |
| Q6_K | 6.6 GB est |
| Q8_0 | 8.54 GB |
| FP16 | 16 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run deepseek-r1:8b llama-cli -hf bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M lms get bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF Which devices can run DeepSeek-R1-Distill-Llama 8B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does DeepSeek-R1-Distill-Llama 8B need?
At Q4_K_M, DeepSeek-R1-Distill-Llama 8B needs about 6.4 GB (weights ~4.92 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~10 GB.
Can DeepSeek-R1-Distill-Llama 8B run on a laptop?
Yes, DeepSeek-R1-Distill-Llama 8B 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-Llama 8B commercially?
Yes. DeepSeek-R1-Distill-Llama 8B is licensed MIT, which permits commercial use.
Distilled from DeepSeek-R1 onto Llama-3.1-8B base. Released 2025-01-20. Q4_K_M=4.92GB, Q8_0=8.54GB from bartowski HF repo. Ollama shows 5.2GB for the 8b tag. Context 128K.
Sources
Memory figures are estimates. See methodology.