README.md

---
license: gemma
library_name: transformers
pipeline_tag: image-text-to-text
base_model: mlabonne/gemma-3-27b-it-abliterated
tags:
- mlx
---

# Omnico/gemma-3-27b-it-abliterated-mlx-3Bit

The Model [Omnico/gemma-3-27b-it-abliterated-mlx-3Bit](https://huggingface.co/Omnico/gemma-3-27b-it-abliterated-mlx-3Bit) was converted to MLX format from [mlabonne/gemma-3-27b-it-abliterated](https://huggingface.co/mlabonne/gemma-3-27b-it-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("Omnico/gemma-3-27b-it-abliterated-mlx-3Bit")

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)
```