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:
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- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.output_layer.weight/.zarray from nvidia/OpenMath-CodeLlama-13b-Python: direct link, hf CLI and curl.
- Browser
- Download file 236 Bytes
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.output_layer.weight/.zarray
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-13b-Python/nemo_model/model_weights/model.output_layer.weight/.zarray
-
curl -L -o .zarray https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.output_layer.weight/.zarray
236 Bytes
- Xet hash:
- e5da9bd8810d20ecfdb4b1afa06790100accfd473c8f1eca4b086ccea6290078
- Size of remote file:
- 236 Bytes
- SHA256:
- a853edcb9a1ee60bff7c5c919d54e79eeeffc86b0bb41a9b67f025428caf037a
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