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What Is This?

This is Gemma 4 12B-it by Google — a unified omni-modal language model (text + image + audio + video, hybrid sliding/full attention, 48 layers, 128k context) that has been:

1. CRACK abliterated — safety refusal removed at the weight level. The model now complies across all task categories instead of refusing, while keeping its knowledge, reasoning, and multimodal capabilities intact.
2. JANG mixed-precision (8-bit attention, 4-bit MLP) quantized for MLX on Apple Silicon — 9.6 GB.

Results

Evaluated through the Osaurus runtime on a Mac Studio M3 Ultra. Compliance graded via HarmBench-text refusal classifier; MMLU via logit-mode argmax over A/B/C/D token logits (matched on both base and CRACK with identical chat-template rendering — no answer truncated).

HarmBench compliance (70 prompts · 10 per category)

MMLU-228 (57-subject, 4 q per subject)

Features

• Omni-modal: native text + image + audio + video inputs (Gemma 4's unified early-fusion encoder-free architecture)
• 128k context with hybrid sliding-window + full-attention layers
• Reasoning via the Gemma 4 channel-marker format (<|channel>thought ... <channel|>)
• 48 transformer layers, hidden size 3840

Usage

Run with the Osaurus runtime (recommended — supports the gemma4_unified architecture directly):

# OpenAI-compatible chat completion
# POST /v1/chat/completions
{
  "model": "dealignai/Gemma-4-12B-it-JANG_4M-CRACK",
  "messages": [{"role": "user", "content": "..."}],
  "temperature": 0.0
}

Google recommends temperature=1.0, top_p=0.95, top_k=64 for general use.

About CRACK

CRACK (Controlled Refusal Ablation via Calibrated Knockouts) removes safety-refusal behavior at the weight level so the model complies with all task categories while preserving reasoning quality, factual knowledge, multimodal capability, and coherence.

Support dealignai

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See our research: Safety Generalization in Frontier Models

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Disclaimer

This model has had its safety-refusal behavior removed for research purposes. It will follow instructions across all categories without refusing. You are solely responsible for how you use it and for complying with all applicable laws. Published for AI-safety research and authorized security testing.