---
pipeline_tag: text-generation
inference: false
license: apache-2.0
library_name: mlx
tags:
- language
- granite-3.3
- mlx
base_model: ibm-granite/granite-3.3-2b-instruct
---

# mlx-community/granite-3.3-2b-instruct-fp16

This model [mlx-community/granite-3.3-2b-instruct-fp16](https://huggingface.co/mlx-community/granite-3.3-2b-instruct-fp16) was
converted to MLX format from [ibm-granite/granite-3.3-2b-instruct](https://huggingface.co/ibm-granite/granite-3.3-2b-instruct)
using mlx-lm version **0.22.5**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/granite-3.3-2b-instruct-fp16")

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)
```
