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:
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- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/2.0 from nvidia/OpenMath-CodeLlama-13b-Python: direct link, hf CLI and curl.
- Browser
- Download file 10.2 kB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/2.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-13b-Python/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/2.0
-
curl -L -o 2.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/2.0
10.2 kB
- Xet hash:
- 692ce654630cc1ddb8fc0beb9c3b2de5e94cf0953a727ef9e6b1a2b41bb8f290
- Size of remote file:
- 10.2 kB
- SHA256:
- f2794d3ffdf12dc20d894fde76d4e00d483b3073cf06de31ae58e31f9daa22a9
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