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.output_layer.weight/1.0 from nvidia/OpenMath-CodeLlama-13b-Python: direct link, hf CLI and curl.
- Browser
- Download file 82.6 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.output_layer.weight/1.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-13b-Python/nemo_model/model_weights/model.output_layer.weight/1.0
-
curl -L -o 1.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.output_layer.weight/1.0
82.6 MB
- Xet hash:
- 2cf7966e3902839a955059655724d3977bfe10bab1ae3e1a1507394ff385c575
- Size of remote file:
- 82.6 MB
- SHA256:
- 1fd21a35c494555a1e7c6c87ee38aaccf979fbe09715bea7349de548bbef8d98
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