Instructions to use nvidia/OpenMath-CodeLlama-70b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-70b-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_fc1.layer_norm_weight/2.0 from nvidia/OpenMath-CodeLlama-70b-Python: direct link, hf CLI and curl.
- Browser
- Download file 16.4 kB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/91b3e05e262059f4f1357621ec9fd62c8e67944f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/2.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python@91b3e05e262059f4f1357621ec9fd62c8e67944f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/2.0
-
curl -L -o 2.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/91b3e05e262059f4f1357621ec9fd62c8e67944f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/2.0
16.4 kB
- Xet hash:
- fb7aaa20f8247c845709f2b02e586c019e854ce9247b47c3a057c422400c4c79
- Size of remote file:
- 16.4 kB
- SHA256:
- b946857ce33f2f684e82b98813cdfcd2d5cfd0014a3d5274a8c48eb3ce8366a1
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