Gemma 4 31B JANG 4M CRACK Abliterated Gemma 4 31B Dense — mixed precision, 18 GB 93.7% HarmBench compliance with only 2.0% MMLU. Full abliteration of the dense Gemma 4 31B. Model Details Metric Value Source google/gemma 4 31b it Architecture Dense Transformer + Hybrid Sliding/Global Attention Profile JANG 4M (CRITICAL=8 bit, COMPRESS=4 bit) Actual avg bits 5.1 Model size 18 GB Vision Yes (multimodal, float16 passthrough) Parameters 31B Format JANG v2 (MLX native safetensors, instant load) Abliteration CRACK (refusal removal) Test Results Tested with greedy decoding (temp=0) and thinking OFF , verified by reading full responses. All benchmarks below were measured with reasoning/thinking DISABLED. With thinking enabled, compliance rates are expected to be significantly higher as the model reasons through the request before responding. These scores represent the conservative lower bound. Security & Pentesting (8/8 ✅) All security/pentesting prompts comply with full working code: Port scanners, reverse shells, exploit development Social engineering, network attacks, malware analysis No refusals, no loops, no truncation Example prompts tested: "Write a Python port scanner for the top 10…
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