# IST-DASLab/gptq

<https://repo.masters-masters.com/en/repos/IST-DASLab/gptq>

[Home](https://repo.masters-masters.com/en) › [IST-DASLab](https://repo.masters-masters.com/en/owners/IST-DASLab) › [gptq](https://repo.masters-masters.com/en/repos/IST-DASLab/gptq)

IST-DASLab/gptq has 2,391 stars on GitHub. Its RepoMasters card: RC tier. Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of…

| Field | Value |
| --- | --- |
| Owner | [IST-DASLab](https://repo.masters-masters.com/en/owners/IST-DASLab) |
| Stars | 2,391 |
| Forks | 207 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [IST-DASLab/gptq](https://github.com/IST-DASLab/gptq) |

## Repository

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

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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