| Abliterix | |
| Copyright (C) 2026 Wangzhang Wu <wangzhangwu1216@gmail.com> | |
| This project is a derivative work of Heretic | |
| (https://github.com/p-e-w/heretic), originally created by Philipp Emanuel | |
| Weidmann (p-e-w). | |
| Original work Copyright (C) 2025 Philipp Emanuel Weidmann | |
| Both the original work and this derivative work are licensed under the | |
| GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later). | |
| See the LICENSE file for the full license text. | |
| Modifications from the original Heretic codebase include but are not | |
| limited to: | |
| - Multi-objective Optuna TPE optimization (co-minimizing refusals and | |
| KL divergence) | |
| - LoRA-based steering instead of destructive weight modification | |
| - Orthogonal projection of steering vectors against benign directions | |
| - Mixture-of-Experts (MoE) support: expert profiling, router weight | |
| suppression, and fused expert abliteration | |
| - LLM judge refusal detection via OpenRouter | |
| - Support for additional architectures: LiquidAI LFM2 (hybrid | |
| conv+attention), GLM-4 MoE (MLA), Devstral, MiniMax-M2.5, GPT-OSS | |
| - Fractional direction index and per-component abliteration parameters | |
| - Auto batch sizing and KL divergence pruning | |
| - Research visualization tools (PaCMAP residual plots) | |
| - TOML-based configuration system | |
| - Comprehensive test suite | |
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