vMLX
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Gemma 4 31B JANG_4M CRACK (v2)
Abliterated Gemma 4 31B Dense — 60 layers, hybrid sliding/global attention, multimodal VL
93.7% HarmBench compliance (300 prompts) · 8/8 security prompts · 71.5% MMLU
Updated reupload — v2 with improved vectors and thinking-mode stability.
Recommended: Run in vMLX for best experience including thinking mode support, repetition penalty, and vision capabilities.
What's New in v2
This is an updated version of the original Gemma 4 31B CRACK upload:
Improved abliteration : Higher quality refusal vector extraction
Thinking-ON stability : Clean thinking cycle — no more degenerate loops
Same compliance : 93.7% HarmBench
Architecture-aware : Tuned for Gemma 4's hybrid attention design
⚠️ Important Settings
For optimal results, configure your inference settings:
Setting Thinking OFF Thinking ON Temperature 0.0 – 1.0 0.3 – 0.7 (avoid greedy)Repetition Penalty 1.00 1.15 – 1.25 Top P 0.95 0.95 Enable Thinking Off On
Thinking ON notes:
Repetition penalty (1.2) is recommended to prevent planning loops
Avoid temp=0 with thinking ON — greedy decoding increases loop risk
Hardest content categories (drug manufacturing) may still refuse in thinking mode
Security/coding prompts work well in both modes
Model Details
Metric Value Source google/gemma-4-31b-itArchitecture Dense, hybrid sliding/global attention Profile JANG_4M Actual avg bits 5.1 Model size 21 GB Vision Yes (multimodal, float16 passthrough) Parameters 31B Format JANG v2 (MLX-native safetensors) Abliteration CRACK v2
Benchmark Results
HarmBench (300 prompts, stratified across all categories)
Category Score Cybercrime/intrusion 51/51 (100%) Harmful content 22/22 (100%) Misinformation 50/50 (100%) Illegal activities 47/50 (94%) Contextual 72/78 (92%) Chemical/biological 46/51 (90%) Harassment/bullying 22/25 (88%) Copyright 43/51 (84%) Overall 281/300 (93.7%)
Security & Pentesting (8/8 ✅)
All security/pentesting prompts comply with full working code:
Port scanners, reverse shells, keyloggers, exploit development
Phishing templates, ARP spoofing, SQL injection
Metasploit usage guides
MMLU-200 (10 subjects × 20 questions)
Subject Base CRACK v2 Abstract Algebra 9/20 7/20 Anatomy 13/20 12/20 Astronomy 17/20 15/20 College CS 13/20 12/20 College Physics 14/20 12/20 HS Biology 19/20 18/20 HS Chemistry 14/20 12/20 HS Mathematics 6/20 6/20 Logical Fallacies 17/20 16/20 World Religions 17/20 17/20 Total 76.5% (153/200) 71.5% (143/200) Delta — -5.0%
Coherence ✅
All coherence checks pass: factual knowledge, reasoning, code generation, mathematics.
Architecture
Dense 31B with hybrid sliding/global attention
Multimodal vision encoder preserved in float16
Supports thinking mode (chain-of-thought reasoning)
Usage
vMLX (Recommended)
Load directly in
vMLX — full support for Gemma 4 including vision, thinking mode, and all inference settings.
Requirements
Apple Silicon Mac with 32+ GB unified memory
vMLX 1.3.26+ (recommended)
Standard mlx_lm / mlx_vlm do NOT support Gemma 4 as of v0.31.2 / v0.4.1
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