README.md

---
datasets:
- openbmb/UltraFeedback
language:
- en
license: gemma
pipeline_tag: text-generation
tags:
- mlx
---

# mlx-community/Gemma-2-9B-It-SPPO-Iter3-4bit

The Model [mlx-community/Gemma-2-9B-It-SPPO-Iter3-4bit](https://huggingface.co/mlx-community/Gemma-2-9B-It-SPPO-Iter3-4bit) was converted to MLX format from [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3) using mlx-lm version **0.15.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Gemma-2-9B-It-SPPO-Iter3-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```