Instructions to use nvidia/Nemotron-4-340B-Reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/Nemotron-4-340B-Reward with NeMo:
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- Notebooks
- Google Colab
- Kaggle
Nemotron-4-340B-Reward / model_weights /model.decoder.layers.mlp.linear_fc1._extra_state /shard_36_96.pt
- Xet hash:
- 289593a888677fed51d8d516c637378eafad1b3bbd47e3b8dd59b16376c1f81f
- Size of remote file:
- 1.84 kB
- SHA256:
- bf56314f019f97c0fd50b64f933a6af12207a4f46d2ff4cb03172248709e85bc
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