---
license: gemma
language:
- en
tags:
- mlx
base_model: IlyaGusev/gemma-2-9b-it-abliterated
---

# gemma-2-9b-it-abliterated-mlx-2bit

The Model [gemma-2-9b-it-abliterated-mlx-2bit](https://huggingface.co/gemma-2-9b-it-abliterated-mlx-2bit) was converted to MLX format from [IlyaGusev/gemma-2-9b-it-abliterated](https://huggingface.co/IlyaGusev/gemma-2-9b-it-abliterated) using mlx-lm version **0.19.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("gemma-2-9b-it-abliterated-mlx-2bit")

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)
```