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Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

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Overview

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

Repository information

Repository
IST-DASLab/gptq ↗
Repository owner
IST-DASLab
Primary language
Python
Repository code license
Apache-2.0 ↗
Maintenance status
Not archived at the recorded check
Forked repository
No
GitHub stars
2,384
Forks
207
Default branch
main
Last repository push
Mar 27, 2024
Project homepage
https://arxiv.org/abs/2210.17323 ↗

Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.

Source links & provenance

https://github.com/IST-DASLab/gptq ↗

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