---
license: llama3.2
language:
- es
base_model: marianbasti/Llama-3.2-3B-Orpheus-Rioplatense-1795
datasets:
- ylacombe/google-argentinian-spanish
pipeline_tag: text-generation
library_name: mlx
tags:
- text-to-speech
- rioplatense
- argentinian
- speech
- mlx
- apple-silicon
- snac
- orpheus
---

# haerttrich/Llama-3.2-3B-Orpheus-Rioplatense-MLX-4bit

This model [haerttrich/Llama-3.2-3B-Orpheus-Rioplatense-MLX-4bit](https://huggingface.co/haerttrich/Llama-3.2-3B-Orpheus-Rioplatense-MLX-4bit) was
converted to MLX format from [marianbasti/Llama-3.2-3B-Orpheus-Rioplatense-1795](https://huggingface.co/marianbasti/Llama-3.2-3B-Orpheus-Rioplatense-1795)
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("haerttrich/Llama-3.2-3B-Orpheus-Rioplatense-MLX-4bit")

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)
```