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:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.output_layer.weight/3.0 from nvidia/OpenMath-CodeLlama-34b-Python: direct link, hf CLI and curl.
- Browser
- Download file 67.1 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.output_layer.weight/3.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-34b-Python/nemo_model/model_weights/model.output_layer.weight/3.0
-
curl -L -o 3.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.output_layer.weight/3.0
67.1 MB
- Xet hash:
- 1080e19ce4a1fc59b580a74dfe3cdf31dea9c7f2adb0b94f40e088299646439d
- Size of remote file:
- 67.1 MB
- SHA256:
- 6eec11e2c4833e06a968ca1c0bc4228c2224925a1a7e76462d28d7d831ad464a
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