Skip to content

text model · DeepSeek-R1-Distill · Windows

Can I run DeepSeek-R1-Distill-Qwen 14B on 8GB RAM Laptop (CPU/iGPU only)?

Compatibility verdict VRAM threshold engine
No, not enough memory would not load

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 Device usable ~5 GB

Needs ~10.7 GB even at Q4_K_M, but only ~5 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 5.7 GB: DeepSeek-R1-Distill-Qwen 14B needs roughly 10.7 GB at Q4_K_M and 8GB RAM Laptop (CPU/iGPU only) leaves only about 5 GB usable for a model. The lightest tracked hardware that runs DeepSeek-R1-Distill-Qwen 14B is the Nvidia GeForce RTX 3060 (12GB) at 12 GB. See DeepSeek-R1-Distill-Qwen 14B on Nvidia GeForce RTX 3060 (12GB).

Q4_K_M needed
~10.7 GB
Usable on device
~5 GB
Device memory
8 GB
Share on X Share on Reddit

Which quant fits

Quant ladder vs ~5 GB usable
Q2_K
~7.6 GB
Q3_K_M
~8.5 GB
Q4_K_M
~10.7 GB
Q5_K_M
~11.7 GB
Q6_K
~13.2 GB
Q8_0
~17.4 GB
FP16
~29.7 GB
The line marks 8GB RAM Laptop (CPU/iGPU only)'s ~5 GB budget; rungs past it are too large.
Model DeepSeek-R1-Distill
Parameters
14B
Q4_K_M size
8.99 GB
Q8_0 size
15.7 GB
Context
128k
Ollama tag
deepseek-r1:14b
Full DeepSeek-R1-Distill-Qwen 14B requirements →
Device Windows
Memory
8 GB ram
Usable for weights
~5 GB
Power draw
~15 W
Best runtime
Ollama (llama.cpp backend)
Best models for 8GB RAM Laptop (CPU/iGPU only) →

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.

Embed this

DeepSeek-R1-Distill-Qwen 14B on 8GB RAM Laptop (CPU/iGPU only) compatibility badge A live badge for your model card or README, updated as the data is.
Markdown
$ [![DeepSeek-R1-Distill-Qwen 14B on 8GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/badge/deepseek-r1-distill-qwen-14b/laptop-8gb.svg)](https://localmodel.run/can-i-run/deepseek-r1-distill-qwen-14b/laptop-8gb)

Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.