Instructions to use nvidia/OpenMath-CodeLlama-70b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-70b-Python with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.final_layernorm.weight/0 from nvidia/OpenMath-CodeLlama-70b-Python: direct link, hf CLI and curl.
- Browser
- Download file 16.4 kB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/caf5674e1eb01122ec306bae5a957176c7cd5b04/nemo_model/model_weights/model.decoder.final_layernorm.weight/0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-70b-Python@caf5674e1eb01122ec306bae5a957176c7cd5b04/nemo_model/model_weights/model.decoder.final_layernorm.weight/0
-
curl -L -o 0 https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python/resolve/caf5674e1eb01122ec306bae5a957176c7cd5b04/nemo_model/model_weights/model.decoder.final_layernorm.weight/0
16.4 kB
- Xet hash:
- 0e9866d0a8f1f6cdf76be75c880b69f08b7058f323b64cd8070311d756fe07b3
- Size of remote file:
- 16.4 kB
- SHA256:
- 92008ed985995d7d8baaa2b1853991c0a69ced816c59211b01ee008ae7dde2f1
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