Instructions to use nvidia/OpenMath-CodeLlama-7b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-7b-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/1.0.2 from nvidia/OpenMath-CodeLlama-7b-Python: direct link, hf CLI and curl.
- Browser
- Download file 22.5 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/1.0.2
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python@2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/1.0.2
-
curl -L -o 1.0.2 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/1.0.2
22.5 MB
- Xet hash:
- e95803ed8e31be9e0c1e9d48c2c9e7b4f908799bd401e66a58cd82791f936f05
- Size of remote file:
- 22.5 MB
- SHA256:
- b9b2380b72164371004100bd25fa0b4f30488c1cf64a2f8c63d618ddd07ef1d4
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