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.decoder.layers.self_attention.linear_proj.weight/11.0.2 from nvidia/OpenMath-CodeLlama-34b-Python: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/11.0.2
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-34b-Python/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/11.0.2
-
curl -L -o 11.0.2 https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/11.0.2
16.8 MB
- Xet hash:
- 30205f24d63ba795b6c9bbbbba9660b6f12f2e5a9627fd094e04a3d3a5100fb0
- Size of remote file:
- 16.8 MB
- SHA256:
- 25ebd7e2b82df34751e463645ef6b058b6e7b80d815478f1df8a45e377fdd459
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