Tag: Gemma-4-12b

Gemma 4 12B Abliteration Benchmarked: 12 Variants Under the Microscope

Twelve uncensored variants of the same AI model, Google’s Gemma 4 12B. Ten abliterations and two LoRA adapters, from eleven different creators. The headline finding inverts the usual story. The most surgical edit of the entire project, just 12 tensors out of 666, also produced the biggest unlock I have measured, 89.8%. And hiding underneath all of it was a thinking-loop tax that makes every headline maths score for a reasoning model misleading. The full run took 165 GPU-hours across three and a half weeks, and all 5,200 HarmBench responses were reviewed by an LLM judge.

August 28, 2026