README.md

---
library_name: mlx
license: llama3.2
base_model: inference-net/Schematron-3B
pipeline_tag: text-generation
tags:
- mlx
---

# pchamart/schematron3B-mlx-8bit

This model [pchamart/schematron3B-mlx-8bit](https://huggingface.co/pchamart/schematron3B-mlx-8bit) was
converted to MLX format from [inference-net/Schematron-3B](https://huggingface.co/inference-net/Schematron-3B)
using mlx-lm version **0.27.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("pchamart/schematron3B-mlx-8bit")

prompt = "hello"

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

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