Fully automatic censorship removal for language models
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Updated
May 2, 2026 - Python
Fully automatic censorship removal for language models
Automated alignment adjustment for LLMs — direct steering, LoRA, and MoE expert-granular abliteration, optimized via multi-objective Optuna TPE.
Make abliterated models with transformers, easy and fast
Powerful no-code LLM fine-tuner: upload data → train → deploy in minutes. Unsloth 2-5× acceleration · QLoRA/DPO/RLHF/PPO/ORPO · Reward Model training · GGUF export · vLLM inference · BLEU/ROUGE/BERTScore · full CLI · Heretic Mode to unlock full model potential
Enhanced fork of Heretic (an automated LLM de-censoring tool) optimized for macOS (Apple Silicon) with checkpoint system and LM Studio integration
Gemma 4 31B Abliterated — quality-preserving guardrail removal for Google's most capable open model. Apache 2.0. Runs on Apple Silicon via MLX.
modify a language model's behavior by abliterating its weights.
MLX-native toolkit for understanding and reshaping how language models behave on Apple Silicon
🚀 Train and modify 80B+ parameter Mixture of Experts models layer-by-layer on consumer GPUs using Python with AEGIS AI Trainer.
Lobopy is a lightweight PyTorch/HuggingFace library for analysing, steering/abliteration of causal language models.
⚡ TIMTEH Model Forge — Uncensored, abliterated & reasoning-distilled GGUFs. Forged on 8×H200 SXM5 | 1.1TB VRAM
Advanced abliteration framework: 8-stage pipeline, auto fine-tuning, voice support, real-time collaboration, security scanning | Production-grade LLM liberation
Genre Mimicry in Academic Writing: Abliterated LLMs and Genre-Dependent Safety Behaviors | DP-2503 | Dissensus AI Discussion Paper
Uncensoring LLMs via Albiteration and rehabilitating via RLVR/GRPO with small post training corpus
Toolkit to abliterate any instruct-tuned LLM using Arditi 2024 + NousResearch method
Local Offline Abliterated CLI of a distilled gguf
Run Gemma 4 31B locally on Apple Silicon with full guardrail removal and no quality loss.
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