Instructions to use dicksondickson/FrogNano-4B-2609-oQ6e-mtp-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dicksondickson/FrogNano-4B-2609-oQ6e-mtp-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download dicksondickson/FrogNano-4B-2609-oQ6e-mtp-MLX --local-dir FrogNano-4B-2609-oQ6e-mtp-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
dicksondickson/FrogNano-4B-2609-oQ6e-mtp-MLX
This model is a quantization of: https://huggingface.co/microsoft/FrogNano-4B-2609
This checkpoint was quantized using oMLX 0.7.0 with imatrix enabled.
Important tensors are left at bf16 which is for Apple M3 chips and later.
Run the model using oMLX: https://github.com/jundot/omlx
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Model size
5B params
Tensor type
U32
·
BF16 ·
Hardware compatibility
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Base model
microsoft/FrogNano-4B-2609