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:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/11.0.2 from nvidia/OpenMath-CodeLlama-7b-Python: direct link, hf CLI and curl.
- Browser
- Download file 22.5 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/e2dcab70168d48b599aa5a4e075bcf43762dbc5d/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/11.0.2
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python@e2dcab70168d48b599aa5a4e075bcf43762dbc5d/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/11.0.2
-
curl -L -o 11.0.2 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/e2dcab70168d48b599aa5a4e075bcf43762dbc5d/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/11.0.2
22.5 MB
- Xet hash:
- aa1e9d52317d3a6ec4261fbc4582fdbc061712c2bda31c0500e51cc19721ac8d
- Size of remote file:
- 22.5 MB
- SHA256:
- bd209c378d2f4d6c30659fc48031c5889b92f6fa78f6bd95b1b009217dfceaa2
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