Instructions to use nvidia/OpenMath-CodeLlama-70b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-70b-Python with NeMo:
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- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/13.0.6 from nvidia/OpenMath-CodeLlama-70b-Python: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/13.0.6
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/13.0.6
-
curl -L -o 13.0.6 https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/13.0.6
16.8 MB
- Xet hash:
- 79fcf7b119a68cf22b183b6d96a17dc60cad745ec9f6c04f7b03184df8435e1b
- Size of remote file:
- 16.8 MB
- SHA256:
- dcd81e78e72dc6b28a4cba1f3109e6f31317349b8f654f7ddb6d4ffe23c62c4b
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