Rent a GPU

Qwen3 1.7B hardware requirements

2.03B parameters. Needs about 2.8 GB at Q4_K_M with 8K context.

Parameters2.03BDense
Q4_K_M · 8K2.8 GBthe usual download
FP16 · 8K5.6 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 quality5.6 GB8.4 GB
Q8_0Near-lossless3.7 GB6.5 GB
Q6_KExcellent3.2 GB6 GB
Q5_K_MVery good3 GB5.8 GB
Q4_K_MGood, most popular2.8 GB5.6 GB
Q3_K_MNoticeably degraded2.5 GB5.4 GB
Q2_KHeavily degraded2.3 GB5.1 GB

Run it with Ollama

Downloads Q4_K_M by default.

ollama run qwen3:1.7b

Model card

Qwen/Qwen3-1.7B on Hugging Face: licence, prompt format and GGUF builds.

Run it in the cloud

Run Qwen3 1.7B on a rented GPU today.

It needs about 2.8 GB at Q4_K_M: a rented RTX 3090 / RTX 4090 runs it for about $0.18 to $0.89 an hour.

RunPodRent a GPU on RunPodVast.aiRent a GPU on Vast.ai

Every GPU and Mac checked

Sorted by memory. Bars show how much of each card Qwen3 1.7B fills at the best quant that fits.

51 Runs well

NameMemory usedBest quantSpeed

Other Qwen models