---
base_model: google/gemma-2-9b-it
datasets:
- princeton-nlp/gemma2-ultrafeedback-armorm
license: mit
tags:
- alignment-handbook
- generated_from_trainer
- mlx
model-index:
- name: princeton-nlp/gemma-2-9b-it-SimPO
  results: []
---

# mlx-community/gemma-2-9b-it-SimPO

The Model [mlx-community/gemma-2-9b-it-SimPO](https://huggingface.co/mlx-community/gemma-2-9b-it-SimPO) was converted to MLX format from [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO) 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("mlx-community/gemma-2-9b-it-SimPO")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```