README.md

---
datasets:
- gsarti/clean_mc4_it
language:
- it
library_name: transformers
tags:
- mlx
---

# RiTA-nlp/llama3-tweety-8b-italian-mlx-4bit

The Model [RiTA-nlp/llama3-tweety-8b-italian-mlx-4bit](https://huggingface.co/RiTA-nlp/llama3-tweety-8b-italian-mlx-4bit) was converted to MLX format from [RiTA-nlp/llama3-tweety-8b-italian](https://huggingface.co/RiTA-nlp/llama3-tweety-8b-italian) using mlx-lm version **0.15.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("RiTA-nlp/llama3-tweety-8b-italian-mlx-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```