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id=\"project-overview\">Project Overview\u003C\u002Fh2>\u003Cp>Heretic is a fully automatic tool that removes censorship (safety alignment) from transformer-based language models using directional ablation (abliteration) combined with Optuna TPE optimization — no manual tuning required, preserving model intelligence while reducing refusals.\u003C\u002Fp>\n\u003Ch2 id=\"key-features\">Key Features\u003C\u002Fh2>\u003Cul>\n\u003Cli>Fully Automatic: One command, zero configuration\u003C\u002Fli>\n\u003Cli>Abliteration: Directional ablation preserving model semantics\u003C\u002Fli>\n\u003Cli>KL Divergence Optimization: Minimizes damage to original model capabilities\u003C\u002Fli>\n\u003Cli>Wide Model Support: Dense, multimodal, and MoE architectures\u003C\u002Fli>\n\u003Cli>Quantization: bitsandbytes 4-bit support for low-VRAM deployment\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"target-audience\">Target Audience\u003C\u002Fh2>\u003Cul>\n\u003Cli>Local LLM researchers and enthusiasts\u003C\u002Fli>\n\u003Cli>Users wanting uncensored AI responses\u003C\u002Fli>\n\u003Cli>Interpretability researchers\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"quick-start\">Quick Start\u003C\u002Fh2>\u003Col>\n\u003Cli>Set up Python 3.10+ with PyTorch 2.2+\u003C\u002Fli>\n\u003Cli>Install: \u003Ccode>pip install -U heretic-llm\u003C\u002Fcode>\u003C\u002Fli>\n\u003Cli>Run: \u003Ccode>heretic Qwen\u002FQwen3-4B-Instruct-2507\u003C\u002Fcode>\u003C\u002Fli>\n\u003Cli>After completion: save model, test chat, upload to HuggingFace, or run benchmarks\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"core-advantages\">Core Advantages\u003C\u002Fh2>\u003Cul>\n\u003Cli>Completely automated — no transformer internals knowledge needed\u003C\u002Fli>\n\u003Cli>Outperforms manual abliterations in KL divergence\u003C\u002Fli>\n\u003Cli>4-bit quantization runs 4B models on 16GB VRAM\u003C\u002Fli>\n\u003Cli>Community has generated 5000+ Heretic models\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"system-requirements\">System Requirements\u003C\u002Fh2>\u003Cul>\n\u003Cli>OS: Linux (recommended), macOS, Windows\u003C\u002Fli>\n\u003Cli>Architecture: x64 (CUDA GPU recommended)\u003C\u002Fli>\n\u003Cli>Additional dependencies: Python 3.10+, PyTorch 2.2+, optional bitsandbytes\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"notes\">Notes\u003C\u002Fh2>\u003Cul>\n\u003Cli>Some models require newer PyTorch (e.g., MXFP4 needs 2.6+)\u003C\u002Fli>\n\u003Cli>Recommended to use uv: \u003Ccode>uv run heretic\u003C\u002Fcode>\u003C\u002Fli>\n\u003Cli>For legitimate research and educational purposes only\u003C\u002Fli>\n\u003C\u002Ful>\n",1794624041382]