# GraySwanAI/nanoGCG

<https://repo.masters-masters.com/en/repos/GraySwanAI/nanoGCG>

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

GraySwanAI/nanoGCG has 356 stars on GitHub. Its RepoMasters card: Alpha tier. A fast + lightweight implementation of the GCG algorithm in PyTorch

| Field | Value |
| --- | --- |
| Owner | [GraySwanAI](https://repo.masters-masters.com/en/owners/GraySwanAI) |
| Stars | 356 |
| Forks | 79 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [GraySwanAI/nanoGCG](https://github.com/GraySwanAI/nanoGCG) |

## Repository

A fast + lightweight implementation of the GCG algorithm in PyTorch

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.