---
license: cc-by-4.0
datasets:
- Salesforce/xlam-function-calling-60k
- MadeAgents/xlam-irrelevance-7.5k
base_model: MadeAgents/Hammer2.0-1.5b
tags:
- mlx
---

# rudrankriyam/hammer2.0-1.5b-4bit

The Model [rudrankriyam/hammer2.0-1.5b-4bit](https://huggingface.co/rudrankriyam/hammer2.0-1.5b-4bit) was
converted to MLX format from [MadeAgents/Hammer2.0-1.5b](https://huggingface.co/MadeAgents/Hammer2.0-1.5b)
using mlx-lm version **0.21.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("rudrankriyam/hammer2.0-1.5b-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
    )

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