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
Nemotron-4-340B-Base / model_weights /model.decoder.layers.mlp.linear_fc2._extra_state /shard_30_96.pt
Download model_weights/model.decoder.layers.mlp.linear_fc2._extra_state/shard_30_96.pt from nvidia/Nemotron-4-340B-Base: direct link, hf CLI and curl.
- Browser
- Download file 1.84 kB
-
https://huggingface.co/nvidia/Nemotron-4-340B-Base/resolve/main/model_weights/model.decoder.layers.mlp.linear_fc2._extra_state/shard_30_96.pt
- Command line
-
hf download hf://nvidia/Nemotron-4-340B-Base/model_weights/model.decoder.layers.mlp.linear_fc2._extra_state/shard_30_96.pt
-
curl -L -o shard_30_96.pt https://huggingface.co/nvidia/Nemotron-4-340B-Base/resolve/main/model_weights/model.decoder.layers.mlp.linear_fc2._extra_state/shard_30_96.pt
1.84 kB
- Xet hash:
- 3a14b99fbd9567fe2dc522cafa8090221a2b32fc0ca40152589bc7490838e874
- Size of remote file:
- 1.84 kB
- SHA256:
- 91ceb57c7deb525d11d475ca2d983ac7fa9bdc652d3767e4466a7d2375007a37
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