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/11.7.0 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/11.7.0
- Command line
-
hf download hf://nvidia/Nemotron-4-340B-Base/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/11.7.0
-
curl -L -o 11.7.0 https://huggingface.co/nvidia/Nemotron-4-340B-Base/resolve/main/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/11.7.0
99.1 MB
- Xet hash:
- f32ae6b643e16406937995454c69de912eed5c0a5124acfc460ff174b4249002
- Size of remote file:
- 99.1 MB
- SHA256:
- c9418d822734d57d2d80665a98af3954ef965275940c71f7a041cb3b91d718fa
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