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.self_attention.linear_proj.weight/12.0.6 from nvidia/OpenMath-CodeLlama-70b-Python: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/643e72d21f050df2b4f84cfc82da215db4433b02/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/12.0.6
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python@643e72d21f050df2b4f84cfc82da215db4433b02/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/12.0.6
-
curl -L -o 12.0.6 https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/643e72d21f050df2b4f84cfc82da215db4433b02/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/12.0.6
16.8 MB
- Xet hash:
- 65f1444a5bca0d78f41b7cadcf0e3fe453d2c4eba7524ca6ff2d82f953e1c645
- Size of remote file:
- 16.8 MB
- SHA256:
- 876769e11f55575e96ed16842ff00c8de24a263d403d5bca27c5c7e962fff8c7
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