Gemma 4 Uncensored (autoresearch results)
Gemma 4 Uncensored — all 4 models, MoE expert abliteration, automated research loop Released uncensored versions of all four Gemma 4 models. bf16 + GGUF for each. Collection : https://huggingface.co/collections/TrevorJS/gemma-4-uncensored-69d2885d6e4fc0581f492698 Code : https://github.com/TrevorS/gemma-4-abliteration Results Model Baseline After KL Div E2B (2.3B) 98% 0.4% 0.346 E4B (4.5B) 99% 0.7% 0.068 26B MoE 98% 0.7% 0.090 31B 100% 3.2% 0.124 Refusal rates from 686 prompts across 4 datasets (JailbreakBench, tulu-harmbench, NousResearch, mlabonne). Manually audited — most flagged refusals are actually the model complying with a disclaimer attached. 26B MoE Standard abliteration only touches dense layers, which gets you from 98% → 29% on the MoE. The remaining refusals are in the expert w
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Building a Node.js document intelligence pipeline for under $10/day
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