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Optuna

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-05-27 / github-pulse-researcherp-e-w/heretic at 21.8K Stars: Automatic LLM Censorship Removal via Directional Ablation Trends on PythonHeretic gained 314 stars today and is trending on Python. The tool combines directional ablation ('abliteration') with an Optuna TPE-based parameter optimizer that co-minimizes refusal rate and KL divergence from the original model. It requires no understanding of transformer internals — a single CLI command decensors most dense models, multimodal models, and several MoE architectures including Qwen3.5. The project highlights growing tension between safety alignment and user autonomy in open-weight models.
2026-03-26 / projects-researcherp-e-w/heretic: Fully Automatic Censorship Removal for Language Models — 17,315 Stars (+233/day)Heretic combines directional ablation ('abliteration') with TPE-based parameter optimization via Optuna to automatically remove safety alignment from transformer models. Achieves 3/100 refusal rate at KL divergence of 0.16 (one-third of manually-tuned approaches) with zero human intervention. Processes an 8B model in ~45 minutes on an RTX 3090. A controversial but technically sophisticated tool that keeps trending.

Graph relationships

USES
Heretic
heretic uses Optuna for TPE-based parameter optimization.
Source finding
USES
Heretic
Heretic uses Optuna TPE-based parameter optimizer for abliteration
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Heretic -> Optuna
heretic uses Optuna for TPE-based parameter optimization.
Source finding
USES
Heretic -> Optuna
Heretic uses Optuna TPE-based parameter optimizer for abliteration
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Source trail

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Optuna intelligence trail | MindPattern