---
license: apache-2.0
tags:
- vision
- mlx
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
  candidate_labels: playing music, playing sports
  example_title: Cat & Dog
---

# mlx-community/siglip-large-patch16-384-4bit

The Model [mlx-community/siglip-large-patch16-384-4bit](https://huggingface.co/mlx-community/siglip-large-patch16-384-4bit) was converted to MLX format from [google/siglip-large-patch16-384](https://huggingface.co/google/siglip-large-patch16-384) using mlx-lm version **0.0.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/siglip-large-patch16-384-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```