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/4.0 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/4.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python@91b3e05e262059f4f1357621ec9fd62c8e67944f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/4.0
-
curl -L -o 4.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/91b3e05e262059f4f1357621ec9fd62c8e67944f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/4.0
16.4 kB
- Xet hash:
- 81138bf83c3a29ca7b2d3914932a805cd0df3109ef2b74304271cd0abd349f30
- Size of remote file:
- 16.4 kB
- SHA256:
- eaa6f6b5c639702a836076d1735af04e127ef51876c7aa4c0f3e04c18669df6b
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