DeepSeek R1 0528 Qwen3 8B hardware requirements

8.19B parameters. Needs about 6.8 GB at Q4_K_M with 8K context.

Parameters8.19BDense
Q4_K_M · 8K6.8 GBthe usual download
FP16 · 8K18.2 GBfull precision
Runs well on51/51GPUs and Macs we track

Memory needed at each quantization

Weights, KV cache and runtime overhead, at 8K and 32K tokens of context.

QuantQuality8K context32K context
FP16Full quality18.2 GB21.8 GB
Q8_0Near-lossless10.5 GB14.1 GB
Q6_KExcellent8.5 GB12.1 GB
Q5_K_MVery good7.6 GB11.3 GB
Q4_K_MGood, most popular6.8 GB10.4 GB
Q3_K_MNoticeably degraded5.8 GB9.4 GB
Q2_KHeavily degraded4.9 GB8.5 GB

Run it with Ollama

Downloads Q4_K_M by default.

ollama run deepseek-r1:8b

Model card

deepseek-ai/DeepSeek-R1-0528-Qwen3-8B on Hugging Face: licence, prompt format and GGUF builds.

Run it in the cloud

Run DeepSeek R1 0528 Qwen3 8B on a rented GPU today.

It needs about 6.8 GB at Q4_K_M: a rented RTX 3090 / RTX 4090 runs it for about $0.18 to $0.89 an hour.

Every GPU and Mac checked

Sorted by memory. Bars show how much of each card DeepSeek R1 0528 Qwen3 8B fills at the best quant that fits.

51 Runs well

NameMemory usedBest quantSpeed