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_fc1.layer_norm_weight/15.0 from nvidia/OpenMath-CodeLlama-7b-Python: direct link, hf CLI and curl.
- Browser
- Download file 8.19 kB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/e2dcab70168d48b599aa5a4e075bcf43762dbc5d/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/15.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python@e2dcab70168d48b599aa5a4e075bcf43762dbc5d/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/15.0
-
curl -L -o 15.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/e2dcab70168d48b599aa5a4e075bcf43762dbc5d/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/15.0
8.19 kB
- Xet hash:
- 79d77988a8b8c512b202ade113851621f54471e19fa63ed0fd47b37be8467194
- Size of remote file:
- 8.19 kB
- SHA256:
- ba3e6c9e1c29fe5caf17a4c4cd0dc8a4d9a9425d844bd067083bfc2503d12f29
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