Instructions to use GreenBitAI/Llama-3.2-3B-Instruct-layer-mix-bpw-4.0-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GreenBitAI/Llama-3.2-3B-Instruct-layer-mix-bpw-4.0-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Llama-3.2-3B-Instruct-layer-mix-bpw-4.0-mlx GreenBitAI/Llama-3.2-3B-Instruct-layer-mix-bpw-4.0-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Upload folder using huggingface_hub
Upload folder using huggingface_hub
Multi commit ID: 4e955a17e9df9094237bd58e967306e3d89387c09effb6338eb8ad67df493b10
Scheduled commits:
- Upload 1 file(s) totalling 2.3G (b26dc3fe7bc507047065781ab7696735a33cf5f060e47ac308c45d3bf6bff010)
- Upload 7 file(s) totalling 17.4M (6e073da1ab6fbf354cb3f4dc21882b97024ffd2fa8163f3a097ed47403867683)
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Multi-commit is now completed! You can ping the repo owner to review the changes. This PR can now be commented or modified without risking to corrupt it.
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create_pr=False has been passed so PR is automatically merged.
This is a comment posted using the huggingface_hub library in the context of a multi-commit. Learn more about multi-commits in this guide.