Instructions to use nvidia/OpenMath-CodeLlama-13b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-13b-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.weight/0.3.0 from nvidia/OpenMath-CodeLlama-13b-Python: direct link, hf CLI and curl.
- Browser
- Download file 35.4 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/e9dae23dfb337ed78099ad69951e2636c09f2651/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.weight/0.3.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-13b-Python@e9dae23dfb337ed78099ad69951e2636c09f2651/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.weight/0.3.0
-
curl -L -o 0.3.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/e9dae23dfb337ed78099ad69951e2636c09f2651/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.weight/0.3.0
35.4 MB
- Xet hash:
- 3ce31a7cfa382fbe371625c45db285adbe4fc2464900a11a841a9baa704a7e7e
- Size of remote file:
- 35.4 MB
- SHA256:
- a793f20d5eb0066ea9d84daaab7b03d62ac56f0774a1fbb87761bb2527817210
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