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/7.0 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/7.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-34b-Python/nemo_model/model_weights/model.embedding.word_embeddings.weight/7.0
-
curl -L -o 7.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.embedding.word_embeddings.weight/7.0
67.1 MB
- Xet hash:
- e986f653873516650481c961699114c47878ef2c6d76aae9b674da0976233a71
- Size of remote file:
- 67.1 MB
- SHA256:
- 2fe60398fb1c9d88c8eca6ff190dfadc87bc2d1c04e5020bcf3abec93cef5b3d
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