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/8.0 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/2d7b057dc54e56d67b328d78e497efb68a25e1ca/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/8.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python@2d7b057dc54e56d67b328d78e497efb68a25e1ca/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/8.0
-
curl -L -o 8.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/2d7b057dc54e56d67b328d78e497efb68a25e1ca/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/8.0
8.19 kB
- Xet hash:
- 6a6e68f5d593dd836db5c8eaf9ced7d185f4bf9576514677bfc164311908dbb6
- Size of remote file:
- 8.19 kB
- SHA256:
- 6a7de28c1dbdd116504477bbffaf1bd8e5fece9f9f9c98ae5ee958280e4c4aa2
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