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/32.0 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/32.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python@91b3e05e262059f4f1357621ec9fd62c8e67944f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/32.0
-
curl -L -o 32.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/91b3e05e262059f4f1357621ec9fd62c8e67944f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/32.0
16.4 kB
- Xet hash:
- 772429f2c5bdcbf7ab210442e4d3867fc94d9cc729b5ea5ff32cb22afa8cf9f7
- Size of remote file:
- 16.4 kB
- SHA256:
- 16a64210b3e8bcf5efe9c2b97ccdc8a8e4dbf09369ce4f056c6b0243bca6cbbe
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