Instructions to use nvidia/OpenMath-CodeLlama-13b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-13b-Python with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/17.2.0 from nvidia/OpenMath-CodeLlama-13b-Python: direct link, hf CLI and curl.
- Browser
- Download file 39.3 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/e9dae23dfb337ed78099ad69951e2636c09f2651/nemo_model/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/17.2.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-13b-Python@e9dae23dfb337ed78099ad69951e2636c09f2651/nemo_model/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/17.2.0
-
curl -L -o 17.2.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/e9dae23dfb337ed78099ad69951e2636c09f2651/nemo_model/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/17.2.0
39.3 MB
- Xet hash:
- ebfc4a36b126c75fab55d82cd0b96fe42578e4ed325e181c704ea7b7d004ad10
- Size of remote file:
- 39.3 MB
- SHA256:
- 41a604bca72ac62771dd7beae3b47ccdf011f6d719b865808f233aabd12556e4
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