Qwen3 14B Instruct

14B

Alibaba Qwen3

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

⬇ 94.2K HF downloads♥ 119 likesQwen/Qwen3-14B-GGUF· stats from 8/8/2026
Consumer GPUMac / Apple Silicon

41K

Max Context

4

Quant Variants

GGUF Q5_K_M

Best Quality

98.8%

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_M4.8510.5 GB2.6%88 tok/sMeasured
CalcHF
GGUFQ5_K_M5.6812.2 GB1.2%78 tok/sMeasured
CalcHF
AWQINT449.5 GB3.5%115 tok/sMeasured
CalcHF
EXL24.65bpw4.6510.0 GB1.8%125 tok/sMeasured
CalcHF

Similar models

Compare with Qwen3 8B
8B

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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.

30B-A3B

Qwen3 30B-A3B Instruct

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17.5 GBmin VRAM·98.9%accuracy

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

4B

Qwen3 4B Instruct

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2.8 GBmin VRAM·99.3%accuracy

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

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.