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Efficient-ML/
GPTQ-for-Qwen3

Name: GPTQ-for-Qwen3
Availability: InStock

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Guidelines for Loading Qwen3 (GPTQ) Quantized Models

Installation Setup

Download the GPTQ-for-Qwen_hf folder.

File Replacement

If you need to use the tests we provide, please download the files in the eval_my directory on GitHub and pay attention to the "Attention" section in the README:

Add eval_my directory: Place the eval_my directory under the GPTQ-for-Qwen directory.

Load the model

Group-wise Quantization

1. Perform GPTQ search

bash

CUDA_VISIBLE_DEVICES=0 python path_of_qwen.py your_model_path \
--wbits model_wbit  --groupsize 128  \
--load path_of_.pth

2. Evaluate the quantized model

bash

CUDA_VISIBLE_DEVICES=0 python path_of_qwen.py your_model_path \
--wbits model_wbit  --groupsize 128  \
--load path_of_.pth --eval

Per-channel Quantization

1. Perform GPTQ search

bash

CUDA_VISIBLE_DEVICES=0 python path_of_qwen.py your_model_path \
--wbits model_wbit  --groupsize -1  \
--load path_of_.pth

2. Evaluate the quantized model

bash

CUDA_VISIBLE_DEVICES=0 python path_of_qwen.py your_model_path \
--wbits model_wbit  --groupsize -1  \
--load path_of_.pth --eval

Notes

You need to input the corresponding wbit and groupsize parameters for the model; otherwise, loading errors may occur.
Set the groupsize parameter to -1 for per-channel quantization.
Make sure you have sufficient GPU memory to run a 32B-sized model
Check GitHub for more information.

Efficient-ML/GPTQ-for-Qwen3

Guidelines for Loading Qwen3 (GPTQ) Quantized Models

Installation Setup

File Replacement

Load the model

Group-wise Quantization

1. Perform GPTQ search

2. Evaluate the quantized model

Per-channel Quantization

1. Perform GPTQ search

2. Evaluate the quantized model

Notes

Efficient-ML/
GPTQ-for-Qwen3