Instructions to use nvidia/OpenMath-CodeLlama-70b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-70b-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_fc1.layer_norm_weight/.zarray from nvidia/OpenMath-CodeLlama-70b-Python: direct link, hf CLI and curl.
- Browser
- Download file 230 Bytes
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/91b3e05e262059f4f1357621ec9fd62c8e67944f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/.zarray
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python@91b3e05e262059f4f1357621ec9fd62c8e67944f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/.zarray
-
curl -L -o .zarray https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/91b3e05e262059f4f1357621ec9fd62c8e67944f/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/.zarray
230 Bytes
- Xet hash:
- a2985d392f6a33eade3c7a06224fe7cf623ccd0cd2be46a8bc8bac16eaf28651
- Size of remote file:
- 230 Bytes
- SHA256:
- edf4fd63ee7c134c9da4e60762b3547b9d1d34e60503e1c74a6a368681acea0c
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