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/12.0.4 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/12.0.4
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/12.0.4
-
curl -L -o 12.0.4 https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/12.0.4
16.8 MB
- Xet hash:
- 6f35dc3f77ba6ffd70427a0eefc86ae6667f73d804b01648f50037b5fb605db0
- Size of remote file:
- 16.8 MB
- SHA256:
- 8d5373243f0ff35a82f43ccb5cea7d0f1ae48388b649990193932283b06b9121
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