obliteratus

# OBLITERATUS Skill Remove refusal behaviors (guardrails) from open-weight LLMs without retraining or fine-tuning. Uses mechanistic interpretability techniques — including diff-in-means, SVD, whitened SVD, LEACE concept erasure, SAE decomposition, Bayesian kernel projection, and more — to identify and surgically excise refusal directions from model weights while preserving reasoning capabilities. **License warning:** OBLITERATUS is AGPL-3.0. NEVER import it as a Python library. Always invoke via CLI (`obliteratus` command) or subprocess. This keeps Hermes Agent's MIT license clean. ## When to Use This Skill Trigger when the user: - Wants to "uncensor" or "abliterate" an LLM - Asks about removing refusal/guardrails from a model - Wants to create an uncensored version of Llama, Qwen, Mistral, etc. - Mentions "refusal removal", "abliteration", "weight projection" - Wants to analyze how a model's refusal mechanism works - References OBLITERATUS, abliterator, or refusal directions ## Step 1: Installation Check if already installed: ```bash obliteratus --version 2>/dev/null && echo "INSTALLED" || echo "NOT INSTALLED" ``` If not installed, clone and install from GitHub: ```bash git clone https://github.com/elder-plinius/OBLITERATUS.git cd OBLITERATUS pip install -e . # For Gradio web UI support: # pip install -e ".[spaces]" ``` **IMPORTANT:** Confirm with user before installing. This pulls in ~5-10GB of dependencies (PyTorch, Transformers, bitsandbytes, etc.). ## Step 2: Ch...