---
library_name: mlx
inference: false
extra_gated_description: To learn more about how we process your personal data, please
  read our <a href="https://poolside.ai/legal/privacy">Privacy Policy</a>.
tags:
- laguna-xs.2
- mlx
license: apache-2.0
pipeline_tag: text-generation
base_model: poolside/Laguna-XS.2
---

# mlx-community/Laguna-XS.2-5bit

This model [mlx-community/Laguna-XS.2-5bit](https://huggingface.co/mlx-community/Laguna-XS.2-5bit) was
converted to MLX format from [poolside/Laguna-XS.2](https://huggingface.co/poolside/Laguna-XS.2)
using mlx-lm version **0.31.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Laguna-XS.2-5bit")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```