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---
pipeline_tag: text-generation
inference: false
license: apache-2.0
library_name: mlx
tags:
- language
- granite-3.3
- mlx
base_model: ibm-granite/granite-3.3-8b-instruct
---
# mlx-community/granite-3.3-8b-instruct-fp16
This model [mlx-community/granite-3.3-8b-instruct-fp16](https://huggingface.co/mlx-community/granite-3.3-8b-instruct-fp16) was
converted to MLX format from [ibm-granite/granite-3.3-8b-instruct](https://huggingface.co/ibm-granite/granite-3.3-8b-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-3.3-8b-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)
```
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