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dealignai/Gemma-4-31B-JANG_4M-CRACK

huggingface.co/dealignai/Gemma-4-31B-JANG_4M-CRACK

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2026-09-08Updated
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Model card

⚡ All JANG models are meant to be run in vMLX

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.

What's New in v2

This is an updated version of the original Gemma 4 31B CRACK upload:

⚠️ 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-it | | Architecture | 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

Usage

vMLX (Recommended)

Load directly in vMLX — full support for Gemma 4 including vision, thinking mode, and all inference settings.

Requirements


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About dealignai

We research and publish abliterated models to advance AI safety understanding.

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See our research: Safety Generalization in Frontier MoE Models


This model is provided for research purposes. Users are responsible for ensuring their use complies with applicable laws and regulations.

Mirrored from the Hugging Face Hub and served from the Conceptio Open Knowledge Archive. Read the original card at https://huggingface.co/dealignai/Gemma-4-31B-JANG_4M-CRACK.