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/0.0.0 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/0.0.0
- Command line
-
hf download hf://nvidia/Nemotron-4-340B-Base/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/0.0.0
-
curl -L -o 0.0.0 https://huggingface.co/nvidia/Nemotron-4-340B-Base/resolve/main/model_weights/model.decoder.layers.self_attention.linear_qkv.weight/0.0.0
99.1 MB
- Xet hash:
- 335749396f3c79cbcc9e04a53312363110590adf10aa20a34bd7eb09f8e0b032
- Size of remote file:
- 99.1 MB
- SHA256:
- 0e3670bc21de4abe6a8c975c9cefa7dceb3829633c1eaae160d242b8584010fc
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