text model · DeepSeek-R1-Distill · Windows
Can I run DeepSeek-R1-Distill-Qwen 14B on 8GB RAM Laptop (CPU/iGPU only)?
No. DeepSeek-R1-Distill-Qwen 14B needs ~10.7 GB even at Q4_K_M, but 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.
Needs ~10.7 GB even at Q4_K_M, but only ~5 GB is usable.
- Q4_K_M needed
- ~10.7 GB
- Usable on device
- ~5 GB
- Device memory
- 8 GB
- Parameters
- 14B
- Q4_K_M size
- 8.99 GB
- Q8_0 size
- 15.7 GB
- Context
- 128k
- Ollama tag
- deepseek-r1:14b
- Memory
- 8 GB ram
- Usable for weights
- ~5 GB
- Best runtime
- Ollama (llama.cpp backend)
What you can run instead
Run DeepSeek-R1-Distill-Qwen 14B on other hardware
FAQ
Can 8GB RAM Laptop (CPU/iGPU only) run DeepSeek-R1-Distill-Qwen 14B?
No. DeepSeek-R1-Distill-Qwen 14B needs ~10.7 GB even at Q4_K_M, but 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.
How much memory does DeepSeek-R1-Distill-Qwen 14B need?
8GB RAM Laptop (CPU/iGPU only) does not have enough memory. At Q4_K_M the weights are ~8.99 GB; with KV cache and runtime overhead, budget ~10.7 GB at a 4k context.
What is the best tool to run DeepSeek-R1-Distill-Qwen 14B on Windows?
LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
Sources
Memory figures are estimates. See methodology.