---
license: gemma
library_name: mlx
pipeline_tag: text-generation
base_model: grimjim/gemma-3-12b-it-norm-preserved-biprojected-abliterated
tags:
- mlx
---

# CallMcMargin/gemma-3-12b-it-norm-preserved-biprojected-abliterated-mlx-bf16-affine-qgroup32-q8

This model [CallMcMargin/gemma-3-12b-it-norm-preserved-biprojected-abliterated-mlx-bf16-affine-qgroup32-q8](https://huggingface.co/CallMcMargin/gemma-3-12b-it-norm-preserved-biprojected-abliterated-mlx-bf16-affine-qgroup32-q8) was
converted to MLX format from [grimjim/gemma-3-12b-it-norm-preserved-biprojected-abliterated](https://huggingface.co/grimjim/gemma-3-12b-it-norm-preserved-biprojected-abliterated)
using mlx-lm version **0.28.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("CallMcMargin/gemma-3-12b-it-norm-preserved-biprojected-abliterated-mlx-bf16-affine-qgroup32-q8")

prompt = "hello"

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

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