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:
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- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/0.0.5 from nvidia/OpenMath-CodeLlama-34b-Python: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/0.0.5
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-34b-Python/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/0.0.5
-
curl -L -o 0.0.5 https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_proj.weight/0.0.5
16.8 MB
- Xet hash:
- 0cb5845ad4456452f8bd9a13bdf761eca69263b7d1386e2a8872f2b26a931f43
- Size of remote file:
- 16.8 MB
- SHA256:
- e3380c8761cb5fb16d699db5f33e045b1549a0e6ce1f77487c990bab812f3c9d
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