---
pipeline_tag: text-generation
inference: false
license: apache-2.0
library_name: transformers
tags:
- language
- granite-3.2
- mlx
base_model: ibm-granite/granite-3.2-8b-instruct-preview
---

# mlx-community/granite-3.2-8b-instruct-preview-4bit

The Model [mlx-community/granite-3.2-8b-instruct-preview-4bit](https://huggingface.co/mlx-community/granite-3.2-8b-instruct-preview-4bit) was
converted to MLX format from [ibm-granite/granite-3.2-8b-instruct-preview](https://huggingface.co/ibm-granite/granite-3.2-8b-instruct-preview)
using mlx-lm version **0.21.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/granite-3.2-8b-instruct-preview-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)
```