# OpenGVLab/OmniQuant

<https://repo.masters-masters.com/en/repos/OpenGVLab/OmniQuant>

[Home](https://repo.masters-masters.com/en) › [OpenGVLab](https://repo.masters-masters.com/en/owners/OpenGVLab) › [OmniQuant](https://repo.masters-masters.com/en/repos/OpenGVLab/OmniQuant)

OpenGVLab/OmniQuant has 969 stars on GitHub. Its RepoMasters card: Beta tier. \[ICLR2024 spotlight\] OmniQuant is a simple and powerful quantization technique…

| Field | Value |
| --- | --- |
| Owner | [OpenGVLab](https://repo.masters-masters.com/en/owners/OpenGVLab) |
| Stars | 969 |
| Forks | 93 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | large-language-models, llm, quantization |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [OpenGVLab/OmniQuant](https://github.com/OpenGVLab/OmniQuant) |

## Repository

\[ICLR2024 spotlight\] OmniQuant is a simple and powerful quantization technique for LLMs.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.