README.md

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

# cogbuji/MrGrammaticaOntology-gemma-2-9B-It-SPPO-Iter3-SCT-DRIFT-core-0.6.5

The Model [cogbuji/MrGrammaticaOntology-gemma-2-9B-It-SPPO-Iter3-SCT-DRIFT-core-0.6.5](https://huggingface.co/cogbuji/MrGrammaticaOntology-gemma-2-9B-It-SPPO-Iter3-SCT-DRIFT-core-0.6.5) 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 **0.16.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("cogbuji/MrGrammaticaOntology-gemma-2-9B-It-SPPO-Iter3-SCT-DRIFT-core-0.6.5")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```