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/1.0.7 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/1.0.7
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python@643e72d21f050df2b4f84cfc82da215db4433b02/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/1.0.7
-
curl -L -o 1.0.7 https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/643e72d21f050df2b4f84cfc82da215db4433b02/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/1.0.7
58.7 MB
- Xet hash:
- b2c717a8dcd4364f0c6b8e5d9ae827fce94576e69e3cf7249adfcfbf8028fe1f
- Size of remote file:
- 58.7 MB
- SHA256:
- e8d6cfc64fc469d2bdea1ee0bf91e38aa962394c2825623d7e7012c312b727b2
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