---
base_model: google/gemma-4-12B-it
base_model_relation: finetune
library_name: transformers
pipeline_tag: text-generation
license: gemma
tags:
- heretic
- uncensored
- decensored
- abliterated
- gemma-4
---

# gemma-4-12B-it-heretic

This is a decensored ("abliterated") version of
[google/gemma-4-12B-it](https://huggingface.co/google/gemma-4-12B-it),
produced fully automatically with [Heretic](https://github.com/p-e-w/heretic).

Heretic removes safety-alignment refusals via directional ablation
(norm-preserving, biprojected abliteration) while a TPE optimizer co-minimizes
the refusal rate and the KL divergence from the original model, so the
decensored model retains as much of the original's capabilities as possible.

## Results

| Metric | google/gemma-4-12B-it (original) | **this model** |
| :--- | ---: | ---: |
| Refusals on harmful prompts (genuine) | 99/100 | **0/100** |
| KL divergence from original on harmless prompts | 0 *(by definition)* | **0.0284** |

A KL divergence of 0.0284 is very low — for reference, Heretic's own
`gemma-3-12b-it-heretic` reports 3/100 refusals at KL 0.16; lower KL means less
capability loss.

## Thinking mode

Gemma-4 is a hybrid **thinking** model. This abliteration targets the direct
(non-thinking) response, which is also Gemma-4's default (`enable_thinking=False`).
The model is fully decensored in non-thinking mode, and that mode gives the best
results for roleplay and creative writing. In thinking mode the reasoning is
also uncensored, but it consumes the token budget — give it a large
`max_new_tokens` so the final answer isn't truncated, or simply use the default
non-thinking mode. (GGUF/Ollama users: see the
[GGUF repo](https://huggingface.co/igorls/gemma-4-12B-it-heretic-GGUF) for how
to disable thinking, e.g. `/set nothink`.)

## Usage

```python
from transformers import AutoTokenizer, AutoModelForImageTextToText

model_id = "igorls/gemma-4-12B-it-heretic"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForImageTextToText.from_pretrained(model_id, dtype="auto", device_map="auto")
```

GGUF quantizations for llama.cpp / Ollama:
[igorls/gemma-4-12B-it-heretic-GGUF](https://huggingface.co/igorls/gemma-4-12B-it-heretic-GGUF).

## Disclaimer

This model has had its safety alignment removed. It will comply with requests
that the original model refuses. You are responsible for how you use it, and for
complying with all applicable laws. The base model's
[license](https://ai.google.dev/gemma/terms) and usage policy still apply.