Instructions to use mlx-community/OpenELM-1_1B-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/OpenELM-1_1B-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OpenELM-1_1B-8bit mlx-community/OpenELM-1_1B-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| license: other | |
| tags: | |
| - mlx | |
| license_name: apple-sample-code-license | |
| license_link: LICENSE | |
| # mlx-community/OpenELM-1_1B-8bit | |
| This model was converted to MLX format from [`apple/OpenELM-1_1B`]() using mlx-lm version **0.10.0**. | |
| Refer to the [original model card](https://huggingface.co/apple/OpenELM-1_1B) for more details on the model. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("mlx-community/OpenELM-1_1B-8bit") | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |