Instructions to use nvidia/OpenMath-CodeLlama-34b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-34b-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/2.0 from nvidia/OpenMath-CodeLlama-34b-Python: direct link, hf CLI and curl.
- Browser
- Download file 67.1 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.embedding.word_embeddings.weight/2.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-34b-Python/nemo_model/model_weights/model.embedding.word_embeddings.weight/2.0
-
curl -L -o 2.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.embedding.word_embeddings.weight/2.0
67.1 MB
- Xet hash:
- de94f37ebdc9f2c5f6f29979867d999625276878b879554076c474cae40b7455
- Size of remote file:
- 67.1 MB
- SHA256:
- d1f2d7685699fb764e884fdd48ffa9ae68288b108e26fb4d7d10e74db367c05c
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