Instructions to use AlejandroOlmedo/zeta-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AlejandroOlmedo/zeta-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download AlejandroOlmedo/zeta-4bit-mlx --local-dir zeta-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from AlejandroOlmedo/zeta-4bit-mlx: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/AlejandroOlmedo/zeta-4bit-mlx/resolve/main/tokenizer.json
- Command line
-
hf download hf://AlejandroOlmedo/zeta-4bit-mlx/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AlejandroOlmedo/zeta-4bit-mlx/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 18f5ee8c52e9d225044dd7ef664f390226accb3a4e27ac5d3e5a71e8a4eebf2a
- Size of remote file:
- 11.4 MB
- SHA256:
- fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
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