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:
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- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/11.0.0 from nvidia/OpenMath-CodeLlama-7b-Python: direct link, hf CLI and curl.
- Browser
- Download file 8.39 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/11.0.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/11.0.0
-
curl -L -o 11.0.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/11.0.0
8.39 MB
- Xet hash:
- 7ae854bb538bb626efc9f3ee7aecf673a0e39e7d5247c4993ad972a0e57774a8
- Size of remote file:
- 8.39 MB
- SHA256:
- 9dbf44509090a5d910d9e92554b3dcf1aa4ea8b7ccc6af8cc8b9768ad2111628
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