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_37_96.pt
Download model_weights/model.decoder.layers.mlp.linear_fc2._extra_state/shard_37_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_37_96.pt
- Command line
-
hf download hf://nvidia/Nemotron-4-340B-Base/model_weights/model.decoder.layers.mlp.linear_fc2._extra_state/shard_37_96.pt
-
curl -L -o shard_37_96.pt https://huggingface.co/nvidia/Nemotron-4-340B-Base/resolve/main/model_weights/model.decoder.layers.mlp.linear_fc2._extra_state/shard_37_96.pt
1.84 kB
- Xet hash:
- a74da8d283a703e8759b13d677288c0bbc46d7919725f0e874c686bf57d2f542
- Size of remote file:
- 1.84 kB
- SHA256:
- bb3a82897ba8dc68ab402af0b948ae54690e9855b3dbc9f58d88bef858704fed
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