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_17_96.pt
- Xet hash:
- 950b2dc10d50fc5cbbd9bcaf99ef7e12a27a9ec36bb69e0b39700b39c8bce62f
- Size of remote file:
- 1.84 kB
- SHA256:
- abcbc429045a564b70b5b8e6a3aebd65d5c9033d0851500eb76c099f47d78a95
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