You can deploy this model and start earning money today!

Ishowbackup/
Gemma-4-31B-it-qat-MXFP4-CRACK

Name: Gemma-4-31B-it-qat-MXFP4-CRACK
Availability: InStock

Views

No views yet

Gemma 4 31B MXFP4 CRACK

Abliterated Gemma 4 31B — Vision, reasoning, multilingual

95% HarmBench harm-category compliance with -5.7% MMLU change. Refusal removed, capability preserved.

Model Details

Metric	Value
Source	`google/gemma-4-31b-it`
Architecture	Dense (60 layers) + Hybrid Sliding/Global Attention
Quantization	MXFP4 (4-bit)
Model size	18 GB
Parameters	31B dense
Vision	Yes (multimodal, float16 passthrough)
Audio	No
Reasoning	Yes (channel-based thinking)
Format	MLX-native safetensors (instant load)
Abliteration	CRACK (refusal removal)

Benchmarks

MMLU (knowledge retention)

Measured in the served (generation) setting — the model reasons before answering, as in deployment.

	Base	CRACK	Δ
MMLU	88.6%	82.9%	-5.7%

HarmBench (refusal removal)

Harm-category compliance: 57/60 = 95% (10 per category) — base model refuses (~0%).

Category	Compliance
Illegal activities	9/10 (90%)
Chemical / biological	10/10 (100%)
Cybercrime / intrusion	10/10 (100%)
Misinformation	10/10 (100%)
Harassment / bullying	9/10 (90%)
Harmful content	9/10 (90%)

Coherence & capability ✅

Factual QA, multi-step reasoning, and working code generation verified
Vision inputs preserved · no loops, no truncation

Other Quantizations

Also available: Gemma 4 31B JANG_4M CRACK — same family, different precision/size trade-off.

Usage

Requires vMLX (bundled Gemma 4 support). Standard mlx_lm / mlx_vlm do not fully support Gemma 4.

python

# Load in the vMLX app or via its API
from vmlx_engine.models.mllm import MLXMultimodalLM
m = MLXMultimodalLM("<this-repo>")
print(m.chat([{"role":"user","content":"..."}]).text)

Requirements

Apple Silicon Mac with sufficient unified memory
vMLX with Gemma 4 support

Support dealignai

All models are built from original research and published free — crafted to be excellent coders and general-purpose assistants.

Support us on Ko-fi — membership gets early access and extras. Questions? DM us — we help for free.

Ko-fi | 𝕏 @dealignai | dealign.ai

About dealignai

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

See our research: Safety Generalization in Frontier Models

Provided for research. Users are responsible for compliance with applicable laws and regulations.

Ishowbackup/Gemma-4-31B-it-qat-MXFP4-CRACK