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/12.0.0 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/12.0.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python@2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/12.0.0
-
curl -L -o 12.0.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/2f20a3f7d3e0c2da283f5ff8556943e8c593b34f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/12.0.0
22.5 MB
- Xet hash:
- 2d5559a18ae351d678b8ac337e0311256f9d9713a1daef899494e8a2a39f1dfb
- Size of remote file:
- 22.5 MB
- SHA256:
- d527a1ca7e7922789c281de69b476315c7467b20a8b8b6e5c9cc70696db2fc02
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