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.decoder.final_layernorm.weight/0 from nvidia/OpenMath-CodeLlama-34b-Python: direct link, hf CLI and curl.
- Browser
- Download file 16.4 kB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.decoder.final_layernorm.weight/0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-34b-Python/nemo_model/model_weights/model.decoder.final_layernorm.weight/0
-
curl -L -o 0 https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python/resolve/main/nemo_model/model_weights/model.decoder.final_layernorm.weight/0
16.4 kB
- Xet hash:
- 3d69ce9761e74e3a84ac6861d32e72a7651161bfcfffda169b1361a137048dd7
- Size of remote file:
- 16.4 kB
- SHA256:
- f348c2c4d32f72f8d72ce9cf08ff6f9466432beae73bb7e82d4862d994093e56
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