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_11_96.pt
- Xet hash:
- b4ab901be9deae2d1f2d2b8b1c2825e97c883fbef893308a3ecb8e1ca070bcd2
- Size of remote file:
- 1.84 kB
- SHA256:
- 4c16ab7e975ec1683fb246b8846d5e3522e81110e097d049d6e7e47968dd0def
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