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.mlp.linear_fc2.weight/15.0.0 from nvidia/OpenMath-CodeLlama-13b-Python: direct link, hf CLI and curl.
- Browser
- Download file 35.4 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/15.0.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-13b-Python/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/15.0.0
-
curl -L -o 15.0.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/15.0.0
35.4 MB
- Xet hash:
- 03ea9426be285d2ad10d7718a904ee1a00c2521ae04a85e884fd8af9d3acacd8
- Size of remote file:
- 35.4 MB
- SHA256:
- b15e99c204bcc0f787c385b9a8b644cdf7e29e14a0ca845ae5efbd244f4661ff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.