# wuwangzhang1216/abliterix

<https://repo.masters-masters.com/en/repos/wuwangzhang1216/abliterix>

[Home](https://repo.masters-masters.com/en) › [wuwangzhang1216](https://repo.masters-masters.com/en/owners/wuwangzhang1216) › [abliterix](https://repo.masters-masters.com/en/repos/wuwangzhang1216/abliterix)

wuwangzhang1216/abliterix has 280 stars on GitHub. Its RepoMasters card: Alpha tier. Automated alignment adjustment for LLMs — direct steering, LoRA, and MoE…

| Field | Value |
| --- | --- |
| Owner | [wuwangzhang1216](https://repo.masters-masters.com/en/owners/wuwangzhang1216) |
| Stars | 280 |
| Forks | 46 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | AGPL-3.0 |
| Created | 2026 |
| Topics | abliteration, decensoring, llm, lora, optuna, pytorch, transformers, uncensored, alignment, gemma |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [wuwangzhang1216/abliterix](https://github.com/wuwangzhang1216/abliterix) |

## Repository

Automated alignment adjustment for LLMs — direct steering, LoRA, and MoE expert-granular abliteration, optimized via multi-objective Optuna TPE.

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.