Instructions to use nvidia/OpenMath-CodeLlama-13b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-13b-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_fc1.layer_norm_weight/3.0 from nvidia/OpenMath-CodeLlama-13b-Python: direct link, hf CLI and curl.
- Browser
- Download file 10.2 kB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/50162d529f83030cb0091a54664abaa4d50c2df8/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/3.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-13b-Python@50162d529f83030cb0091a54664abaa4d50c2df8/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/3.0
-
curl -L -o 3.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/50162d529f83030cb0091a54664abaa4d50c2df8/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/3.0
10.2 kB
- Xet hash:
- b4b22832adf2ca2b744ec72e2f6efec699683753b9c7b027de5c04552d5eb746
- Size of remote file:
- 10.2 kB
- SHA256:
- e60e9623cc9790a665801a4234f9c8ee6bf0bbb4686a6acd2f4e8390b487bbc2
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