---
base_model: watt-ai/watt-tool-8B
language:
- en
license: apache-2.0
tags:
- function-calling
- tool-use
- llama
- bfcl
- mlx
---

# mlx-community/watt-tool-8B

The Model [mlx-community/watt-tool-8B](https://huggingface.co/mlx-community/watt-tool-8B) was
converted to MLX format from [watt-ai/watt-tool-8B](https://huggingface.co/watt-ai/watt-tool-8B)
using mlx-lm version **0.20.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/watt-tool-8B")

prompt="hello"

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

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