Instructions to use luiscalisto/EuroLLM-9B-Instruct-2512-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use luiscalisto/EuroLLM-9B-Instruct-2512-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir EuroLLM-9B-Instruct-2512-MLX-4bit luiscalisto/EuroLLM-9B-Instruct-2512-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 16a540795043cc7e541ddcd75687f052d54ae20923c1b5b09da4c9c2397a30ff
- Size of remote file:
- 15.8 MB
- SHA256:
- fb367c19befd9c28c5bc20e049f1a525fb6ecdfce10f346a904441da94d6f25c
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