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/2.0.0 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/dae9b3d7f991db9ad4865c97085a8ac2e1783cc3/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/2.0.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python@dae9b3d7f991db9ad4865c97085a8ac2e1783cc3/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/2.0.0
-
curl -L -o 2.0.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/dae9b3d7f991db9ad4865c97085a8ac2e1783cc3/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc2.weight/2.0.0
22.5 MB
- Xet hash:
- 505a7e9b4a2741f85b74102eef3749737bf5c36d7dfafaffb253e90793d06bdc
- Size of remote file:
- 22.5 MB
- SHA256:
- 6d41a64a8e487299a07d6d458dc5d4a17f7ee5693a44b21ca681b9152a113dd2
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