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.weight/12.6.0 from nvidia/OpenMath-CodeLlama-13b-Python: direct link, hf CLI and curl.
- Browser
- Download file 35.4 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/e9dae23dfb337ed78099ad69951e2636c09f2651/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.weight/12.6.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-13b-Python@e9dae23dfb337ed78099ad69951e2636c09f2651/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.weight/12.6.0
-
curl -L -o 12.6.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/e9dae23dfb337ed78099ad69951e2636c09f2651/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.weight/12.6.0
35.4 MB
- Xet hash:
- 33921430840c18082d51f7d2fc2cd2e8f010be8dbab781955a008a3c6ae50855
- Size of remote file:
- 35.4 MB
- SHA256:
- 21b7e722f171618f041b9f969139d1a3ef8271c75c872e8395b2fbca5315bf61
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