README.md

---
base_model: google/gemma-2-9b-it
datasets:
- wzhouad/gemma-2-ultrafeedback-hybrid
library_name: transformers
tags:
- alignment-handbook
- gemma
- mlx
---

# sigjhl/gemma-2-9b-it-WPO-HB-4bit

The Model [sigjhl/gemma-2-9b-it-WPO-HB-4bit](https://huggingface.co/sigjhl/gemma-2-9b-it-WPO-HB-4bit) was converted to MLX format from [wzhouad/gemma-2-9b-it-WPO-HB](https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB) using mlx-lm version **0.18.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("sigjhl/gemma-2-9b-it-WPO-HB-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```