Instructions to use nvidia/OpenMath-CodeLlama-7b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-7b-Python with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/1.0 from nvidia/OpenMath-CodeLlama-7b-Python: direct link, hf CLI and curl.
- Browser
- Download file 8.19 kB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/1.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python@2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/1.0
-
curl -L -o 1.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/1.0
8.19 kB
- Xet hash:
- 7da1093dc263cb2abb76fa5ee407153681a621b13ace600ae63d4f3854e18d61
- Size of remote file:
- 8.19 kB
- SHA256:
- b19f0fa23449556e0476ffc7bd9d8e8f62d947c130dbf000e4ba901011a7102b
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