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face9810298/
Gemma-4-31B-JANG_4M-CRACK-GGUF

Name: Gemma-4-31B-JANG_4M-CRACK-GGUF
Availability: InStock

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Gemma-4-31B-JANG_4M-CRACK-GGUF

GGUF quantizations of Gemma-4-31B-JANG_4M-CRACK for use with llama.cpp, LM Studio, Ollama, and other GGUF-compatible inference engines.

About the Model

Base model: google/gemma-4-31b-it
Architecture: Gemma 4 Dense Transformer (31B parameters, 60 layers)
Features: Hybrid Sliding/Global Attention, Vision + Audio multimodal
Modification: CRACK abliteration (refusal removal) + JANG v2 mixed-precision quantization

Why This Conversion?

The original model uses JANG v2 mixed-precision MLX quantization (attention 8-bit + MLP 4-bit), which is only compatible with vMLX. Standard tools (llama.cpp, LM Studio, oMLX, mlx-lm) cannot load this format due to mixed per-layer bit widths.

This repository provides standard GGUF quantizations that work everywhere.

Conversion Process

Original (JANG v2 MLX safetensors, ~18GB)
    ↓ dequantize (attention 8-bit → f16, MLP 4-bit → f16)
Intermediate (float16 safetensors, ~60GB)
    ↓ convert_hf_to_gguf.py + quantize
GGUF (various quantizations)

Note: Since the original was already quantized (avg 5.1 bits), the dequantized f16 intermediate is an approximation. Re-quantizing to GGUF introduces minimal additional quality loss since the attention layers were preserved at 8-bit in the original.

Available Quantizations

File	Quant	Size	Quality	Notes
`gemma-4-31b-jang-crack-Q3_K_M.gguf`	Q3_K_M	~14 GB	Acceptable	Minimum viable quality
`gemma-4-31b-jang-crack-Q4_K_M.gguf`	Q4_K_M	~18 GB	Good	Best size/quality balance
`gemma-4-31b-jang-crack-Q5_K_M.gguf`	Q5_K_M	~21 GB	Better	Recommended if RAM allows
`gemma-4-31b-jang-crack-Q6_K.gguf`	Q6_K	~25 GB	Very Good	High quality
`gemma-4-31b-jang-crack-Q8_0.gguf`	Q8_0	~33 GB	Near lossless	Closest to original

System Requirements

Quantization	Minimum RAM	Recommended
Q3_K_M	20 GB	24 GB
Q4_K_M	24 GB	32 GB
Q5_K_M	28 GB	36 GB
Q6_K	32 GB	40 GB
Q8_0	40 GB	48 GB

Usage

LM Studio

Download any .gguf file and open it in LM Studio.

llama.cpp

./llama-cli -m gemma-4-31b-jang-crack-Q4_K_M.gguf -p "Hello" -n 256

Ollama

bash

echo 'FROM ./gemma-4-31b-jang-crack-Q4_K_M.gguf' > Modelfile
ollama create gemma4-crack -f Modelfile
ollama run gemma4-crack

License

Gemma License

Disclaimer

This model has had safety guardrails removed. Use responsibly and in compliance with applicable laws.

face9810298/Gemma-4-31B-JANG_4M-CRACK-GGUF