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---
license: apache-2.0
library_name: mlx
tags:
- language
- granite-4.0
- mlx
base_model: ibm-granite/granite-4.0-h-1b
pipeline_tag: text-generation
---
# ethicalabs/granite-4.0-h-1b-MLX
This model [ethicalabs/granite-4.0-h-1b-MLX](https://huggingface.co/ethicalabs/granite-4.0-h-1b-MLX) was
converted to MLX format from [ibm-granite/granite-4.0-h-1b](https://huggingface.co/ibm-granite/granite-4.0-h-1b)
using mlx-lm version **0.28.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("ethicalabs/granite-4.0-h-1b-MLX")
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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