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:
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- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/19.0.3 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/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/19.0.3
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-13b-Python/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/19.0.3
-
curl -L -o 19.0.3 https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/19.0.3
35.4 MB
- Xet hash:
- 2485237fc0fbfa0e01efa1a098743cf273ab4aa9b22c8c2b74222b82c0160fe0
- Size of remote file:
- 35.4 MB
- SHA256:
- c5a1ccae78c44f81255e8c736f04e19e1f164d6efb0d699016befb2ff1fe6f68
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