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/3.0 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/3.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-34b-Python/nemo_model/model_weights/model.embedding.word_embeddings.weight/3.0
-
curl -L -o 3.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.embedding.word_embeddings.weight/3.0
67.1 MB
- Xet hash:
- 14119f78cced65431babd75c0b429bbc8f5d72f63b48735add4e31932d3a6807
- Size of remote file:
- 67.1 MB
- SHA256:
- 420e898ad81994c9597c7e3de032dc4ff904873b09dac5264f241ec033a5c697
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