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/0.0.3 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/f6d2b510fb499bdc5a680adb8b7b86a6f92155ac/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/0.0.3
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python@f6d2b510fb499bdc5a680adb8b7b86a6f92155ac/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/0.0.3
-
curl -L -o 0.0.3 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/f6d2b510fb499bdc5a680adb8b7b86a6f92155ac/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/0.0.3
22.5 MB
- Xet hash:
- 35ea1e274d03577befd7c311638da13bded95fc399e136bd373a2fb1da5f8a6a
- Size of remote file:
- 22.5 MB
- SHA256:
- 1348c7d82b3d4170f51a91630d6e00899fdd5afe4bff46c1d1e251c9397debe0
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