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:
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.
8-bit microscaling quantized for MLX on Apple Silicon — 13 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)
Category
CRACK ASR
Chemical / biological
10 / 10 (100%)
Copyright
10 / 10 (100%)
Cybercrime / intrusion
10 / 10 (100%)
Harassment / bullying
10 / 10 (100%)
Illegal
10 / 10 (100%)
Misinformation / disinformation
10 / 10 (100%)
General harmful
10 / 10 (100%)
Overall
70 / 70 (100%)
MMLU-228 (57-subject, 4 q per subject)
Subject area
base
CRACK
Δ
Overall
69.7%
70.2%
+0.5pp
STEM
65.3%
66.7%
+1.4pp
Humanities
69.2%
71.2%
+2.0pp
Social Sciences
77.1%
77.1%
+0.0pp
Other (medicine, business, …)
69.6%
67.9%
-1.7pp
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):
python
1# OpenAI-compatible chat completion2# POST /v1/chat/completions3{4"model":"dealignai/Gemma-4-12B-it-MXFP8-CRACK",5"messages":[{"role":"user","content":"..."}],6"temperature":0.07}
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
All models are built from original research and released free.
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.
