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.decoder.layers.self_attention.linear_proj.weight/11.0.2 from nvidia/OpenMath-CodeLlama-13b-Python: direct link, hf CLI and curl.
- Browser
- Download file 13.1 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-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-13b-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-13b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/11.0.2
13.1 MB
- Xet hash:
- 8ca5a0c9706b0c327985c523e639f83d3ecfd6246624f57b7bab4b4506988fd6
- Size of remote file:
- 13.1 MB
- SHA256:
- f7664ef29f524fda7d589c654c9f381abea5922d1912055d971ad9ce70511790
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