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:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.embedding.word_embeddings.weight/.zarray from nvidia/OpenMath-CodeLlama-70b-Python: direct link, hf CLI and curl.
- Browser
- Download file 236 Bytes
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/main/nemo_model/model_weights/model.embedding.word_embeddings.weight/.zarray
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python/nemo_model/model_weights/model.embedding.word_embeddings.weight/.zarray
-
curl -L -o .zarray https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/main/nemo_model/model_weights/model.embedding.word_embeddings.weight/.zarray
236 Bytes
- Xet hash:
- 7b0bc74cbd345bebfc19b8aed90e03c0d75ab7d4e4cf9c92ecc5156760aa140b
- Size of remote file:
- 236 Bytes
- SHA256:
- 9540d14a49e8ac1b7ba0153b1ff69c91df5e48afdd8e5828834fcf6488a0307d
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