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_fc2.weight/19.0.2 from nvidia/OpenMath-CodeLlama-7b-Python: direct link, hf CLI and curl.
- Browser
- Download file 22.5 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/19.0.2
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python@2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/19.0.2
-
curl -L -o 19.0.2 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/19.0.2
22.5 MB
- Xet hash:
- 6a88d2e1bf5024d84c8bbd08a9a37eeb647b43359c43d03f5cccf9ba48eccd16
- Size of remote file:
- 22.5 MB
- SHA256:
- ca8d3b0f96b3b750abf887f23807406786268cdb1cb3fea97315d722f46dea21
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