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---
library_name: transformers
license: gemma
pipeline_tag: text-generation
tags:
- mlx
extra_gated_heading: Access Gemma on Hugging Face
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agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
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---
# voxmenthe/gemma-2-27b-it-mlx-fp16
The Model [voxmenthe/gemma-2-27b-it-mlx-fp16](https://huggingface.co/voxmenthe/gemma-2-27b-it-mlx-fp16) was converted to MLX format from [google/gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it) 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("voxmenthe/gemma-2-27b-it-mlx-fp16")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```