Instructions to use nvidia/OpenMath-CodeLlama-7b-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-CodeLlama-7b-Python with NeMo:
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- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/16.0.0 from nvidia/OpenMath-CodeLlama-7b-Python: direct link, hf CLI and curl.
- Browser
- Download file 25.2 MB
-
https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/16.0.0
- Command line
-
hf download hf://nvidia/OpenMath-CodeLlama-7b-Python/nemo_model/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/16.0.0
-
curl -L -o 16.0.0 https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python/resolve/main/nemo_model/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/16.0.0
25.2 MB
- Xet hash:
- 228a5aaea0a4790bd9e5f836ae93d0fad42cc66d8c8643423aafb3a236dffe43
- Size of remote file:
- 25.2 MB
- SHA256:
- 7b13000dedf918b3c516b91f604ce5ba08d9c4df73c9572c9cac7f1c8420105f
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