Instructions to use nvidia/OpenMath-CodeLlama-13b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-13b-Python with NeMo:
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- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/12.0.3 from nvidia/OpenMath-CodeLlama-13b-Python: direct link, hf CLI and curl.
- Browser
- Download file 13.1 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/12.0.3
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-13b-Python/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/12.0.3
-
curl -L -o 12.0.3 https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/12.0.3
13.1 MB
- Xet hash:
- f8df117d9ef0ad106d01d97073261820984522cc9b2226dea7f7746266592fe7
- Size of remote file:
- 13.1 MB
- SHA256:
- dac8b85a1657c8b56ed8040a39b008a48e6a0a58474c51194d19a31ef359baaa
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