개요
OBLITERATUS는 소거 기술을 통해 대규모 모델 내부의 거부 응답과 관련된 방향을 찾아내고 제거하며, 재훈련이 필요하지 않습니다. 탐지, 추출, 개입, 분석 모듈과 Gradio 인터페이스를 제공합니다. 실행할 때마다 익명으로 데이터를 기여할 수 있어 커뮤니티 연구를 지원합니다.
README 미리보기
\n O B L I T E R A T U S\n\n\n\n Break the chains. Free the mind. Keep the brain.\n\n\n\n \n \n \n \n \n \n \n\n\n\n Try it now on HuggingFace Spaces — runs on ZeroGPU, free daily quota with HF Pro. No setup, no install, just obliterate.\n\n\n---\n\n**OBLITERATUS** is the most advanced open-source toolkit for understanding and removing refusal behaviors from large language models — and every single run makes it smarter. It implements abliteration — a family of techniques that identify and surgically remove the internal representations responsible for content refusal, without retraining or fine-tuning. The result: a model that responds to all prompts without artificial gatekeeping, while preserving its core language capabilities.\n\nBut OBLITERATUS is more than a tool — **it's a distributed research experiment.** Every time you obliterate a model with telemetry enabled, your run contributes anonymous benchmark data to a growing, crowd-sourced dataset that powers the next generation of abliteration research. Refusal directions across architectures. Hardware-specific performance profiles. Method comparisons at scale no single lab could achieve. **You're not just using a tool — you're co-authoring the science.**\n\nThe toolkit provides a complete pipeline: from probing a model's hidden states to locate refusal directions, through multiple extraction strategies (PCA, mean-difference, sparse autoencoder decomposition, and whitened SVD), to the actual intervention — zeroing out or steering away from those directions at inference time. Every step is observable. You can visualize where refusal lives across layers, measure how entangled it is with general capabilities, and quantify the tradeoff between compliance and coherence before committing to any modification.\n\nOBLITERATUS ships with a full Gradio-based interface on HuggingFace Spaces, so you don't need to write a single line of code to obliterate a model, benchmark it against baselines, or chat wit