Text Classification
MLX
Safetensors
English
Japanese
gemma4
d1a
decision-model
structured-output
classification
apple-silicon
quantized
pull-requests
8-bit precision
Instructions to use mlx-community/d1a-e4b-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/d1a-e4b-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/d1a-e4b-8bit --local-dir d1a-e4b-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from mlx-community/d1a-e4b-8bit: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/mlx-community/d1a-e4b-8bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://mlx-community/d1a-e4b-8bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mlx-community/d1a-e4b-8bit/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- 2e7ad99fe28ec40cd28867fbe6c65c1ec92ce18051c4fdb8eccad32e16989ada
- Size of remote file:
- 32.2 MB
- SHA256:
- 12bac982b793c44b03d52a250a9f0d0b666813da566b910c24a6da0695fd11e6
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