---
library_name: transformers
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: any-to-any
tags:
- heretic
- uncensored
- decensored
- abliterated
- ara
- mlx
- mlx-my-repo
base_model: coder3101/gemma-4-E4B-it-heretic
---

# cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit

The Model [cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit](https://huggingface.co/cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit) was converted to MLX format from [coder3101/gemma-4-E4B-it-heretic](https://huggingface.co/coder3101/gemma-4-E4B-it-heretic) using mlx-lm version **0.31.2**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```