Instructions to use nvidia/OpenMath-CodeLlama-7b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-7b-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_fc2.weight/16.0.1 from nvidia/OpenMath-CodeLlama-7b-Python: direct link, hf CLI and curl.
- Browser
- Download file 22.5 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/16.0.1
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python@2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/16.0.1
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curl -L -o 16.0.1 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/16.0.1
22.5 MB
- Xet hash:
- ef6b587f03579eba6b5d05bd26541e708c808b8d8ed866a65dc0091ce0bf70fa
- Size of remote file:
- 22.5 MB
- SHA256:
- f3f7b3422fc2b06fa19c1eda987fd8a1f5cd6d56222c5d29cad7a006f3868c23
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