Instructions to use nvidia/OpenMath-CodeLlama-34b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-34b-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-34b-Python: direct link, hf CLI and curl.
- Browser
- Download file 236 Bytes
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.output_layer.weight/.zarray
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-34b-Python/nemo_model/model_weights/model.output_layer.weight/.zarray
-
curl -L -o .zarray https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.output_layer.weight/.zarray
236 Bytes
- Xet hash:
- c66f69b605d1fe74e4b5df769f77b2aa095f40fa164b5e2f52bdc5b6a280ce42
- Size of remote file:
- 236 Bytes
- SHA256:
- 05f8711fd388185c434b1dcf29c0388b25782bf7d1db86c8187ea4a7a4b5232e
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