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:
# 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/1.0.1 from nvidia/OpenMath-CodeLlama-34b-Python: direct link, hf CLI and curl.
- Browser
- Download file 45.1 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/1.0.1
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-34b-Python/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/1.0.1
-
curl -L -o 1.0.1 https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/1.0.1
45.1 MB
- Xet hash:
- d2993f57a9fb36fad147023cf700e5166d294b562716e4f080ba8409d046a736
- Size of remote file:
- 45.1 MB
- SHA256:
- 5cdd79cdc71f7e5ecf32f6c053e56c1a7dfbf484d95257b9b22fc18de2b7dd8b
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