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:
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- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/15.0.1 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/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/15.0.1
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/15.0.1
-
curl -L -o 15.0.1 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/15.0.1
22.5 MB
- Xet hash:
- 71d8e034e7356360167378106b0daecb621707e2ae0dcb06fad9b8fb87cd20ff
- Size of remote file:
- 22.5 MB
- SHA256:
- 113d343edcbc31363ba1c28e79f8f4fa1e08e53cfd6c2bd65bfee106411b0e97
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