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/12.0.1 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/12.0.1
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python@643e72d21f050df2b4f84cfc82da215db4433b02/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/12.0.1
-
curl -L -o 12.0.1 https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/643e72d21f050df2b4f84cfc82da215db4433b02/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/12.0.1
58.7 MB
- Xet hash:
- f0702e0ed5d9f26661c259a9b2c2cd90b76fb40c06e79f70826f9ad649ca0410
- Size of remote file:
- 58.7 MB
- SHA256:
- e4efab4eb5ef3f53acc3da8a4221d3599e7c42f8cbf82a0101264ba692680915
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