Instructions to use nvidia/Nemotron-4-340B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/Nemotron-4-340B-Base with NeMo:
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- Notebooks
- Google Colab
- Kaggle
Download model_weights/model.decoder.layers.self_attention.linear_qkv.weight/13.3.0 from nvidia/Nemotron-4-340B-Base: direct link, hf CLI and curl.
- Browser
- Download file 99.1 MB
-
https://huggingface.co/nvidia/Nemotron-4-340B-Base/resolve/main/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/13.3.0
- Command line
-
hf download hf://nvidia/Nemotron-4-340B-Base/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/13.3.0
-
curl -L -o 13.3.0 https://huggingface.co/nvidia/Nemotron-4-340B-Base/resolve/main/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/13.3.0
99.1 MB
- Xet hash:
- 6bbd9bfc173c283a22a63baed2e769b26ef8f507014ef3a36842f858d78064fe
- Size of remote file:
- 99.1 MB
- SHA256:
- 287a04bab7bc6692c42770e6b1853784e2e774566b050bb0dc4fc13bf10146ce
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