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.self_attention.linear_proj.weight/16.0.3 from nvidia/OpenMath-CodeLlama-13b-Python: direct link, hf CLI and curl.
- Browser
- Download file 13.1 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/16.0.3
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-13b-Python/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/16.0.3
-
curl -L -o 16.0.3 https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/16.0.3
13.1 MB
- Xet hash:
- e5c4f320bae82b7b4514a39e8920decf377a0a0adbc2b9e0144f5da2c185a6d5
- Size of remote file:
- 13.1 MB
- SHA256:
- 1240929620d0cb8b150b8982f07d8fe052829a3a7e7ee18819df9336b5a89ce8
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