---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
library_name: mlx
base_model: ibm-granite/granite-guardian-3.1-2b
tags:
- mlx
---

# exoplanet/ibm-granite-guardian-3.1-2b-4bit

This model [exoplanet/ibm-granite-guardian-3.1-2b-4bit](https://huggingface.co/exoplanet/ibm-granite-guardian-3.1-2b-4bit) was
converted to MLX format from [ibm-granite/granite-guardian-3.1-2b](https://huggingface.co/ibm-granite/granite-guardian-3.1-2b)
using mlx-lm version **0.26.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("exoplanet/ibm-granite-guardian-3.1-2b-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)
```