Instructions to use nvidia/OpenMath-CodeLlama-70b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-70b-Python with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/11.0.2 from nvidia/OpenMath-CodeLlama-70b-Python: direct link, hf CLI and curl.
- Browser
- Download file 58.7 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/643e72d21f050df2b4f84cfc82da215db4433b02/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/11.0.2
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python@643e72d21f050df2b4f84cfc82da215db4433b02/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/11.0.2
-
curl -L -o 11.0.2 https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/643e72d21f050df2b4f84cfc82da215db4433b02/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/11.0.2
58.7 MB
- Xet hash:
- b8d18f8e8c084ccd9c9fdd94230930fcc2e513879bccf99e45bc98c140e89634
- Size of remote file:
- 58.7 MB
- SHA256:
- d8593d2c4ff83cb7f4a3c05b58f78336b2cbf17c8e65985e78e7c61a8cafc49b
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