Qwen3 4B Instruct

4B

Alibaba Qwen3

Smallest Qwen3 dense with thinking mode. Q4 ~3.2GB — ideal for 8GB GPUs and edge devices.

⬇ 254.3K HF downloads♥ 143 likesQwen/Qwen3-4B-GGUF· stats from 8/14/2026
Consumer GPUMac / Apple SiliconCPU / VPS

33K

Max Context

4

Quant Variants

GGUF Q6_K

Best Quality

99.3%

Accuracy Retained

Calculate VRAMHugging FaceCompare

Quantization Variants

Per-quant VRAM, quality loss, and inference speed on RTX 4090

Measured = site benchmarks · Estimated = formula · Community = public reports

FormatLevelBPWVRAMPPL LossSpeedSourceActions
GGUFQ4_K_M4.853.2 GB2.9%168 tok/sMeasured
CalcHF
GGUFQ6_K6.564.1 GB0.7%145 tok/sMeasured
CalcHF
AWQINT442.8 GB3.8%225 tok/sMeasured
CalcHF
EXL24.65bpw4.653.0 GB2.1%248 tok/sMeasured
CalcHF

Similar models

Compare with Qwen3 8B
8B

Qwen3 8B Instruct

Alibaba Qwen3

Consumer GPUMac / Apple Silicon
5.1 GBmin VRAM·99.4%accuracy

Latest Qwen3 dense 8B with thinking mode. Strong upgrade from Qwen2.5 7B for local deploy.

14B

Qwen3 14B Instruct

Alibaba Qwen3

Consumer GPUMac / Apple Silicon
9.5 GBmin VRAM·98.8%accuracy

Qwen3 14B — best balance of reasoning and VRAM in the 2026 Qwen lineup.

30B-A3B

Qwen3 30B-A3B Instruct

Alibaba Qwen3

Consumer GPUMac / Apple Silicon
17.5 GBmin VRAM·98.9%accuracy

Qwen3 MoE with only 3B active params. Q4 ~19GB file; outperforms QwQ-32B on 16GB cards.

32B

Qwen3 32B Instruct

Alibaba Qwen3

Consumer GPUPro GPU
16.8 GBmin VRAM·97.5%accuracy

Qwen3 dense 32B — successor to Qwen2.5-32B with stronger reasoning and thinking mode.

How to actually run this

Deployment guides for this model and this class of hardware.