Nemotron-4 15B Technical Report
We introduce Nemotron-4 15B, a 15-billion-parameter large multilingual
language model trained on 8 trillion text tokens. Nemotron-4 15B demonstrates
strong performance when assessed on English, multilingual, and coding tasks: it
outperforms all existing similarly-sized open models on 4 out of 7 downstream
evaluation areas and achieves competitive performance to the leading open
models in the remaining ones. Specifically, Nemotron-4 15B exhibits the best
multilingual capabilities of all similarly-sized models, even outperforming
models over four times larger and those explicitly specialized for multilingual
tasks.
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Jupinder Parmar
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2024-02-27T10:38:03.076Z
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Jupinder Parmar
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Shrimai Prabhumoye
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2024-02-27T10:38:09.023Z
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Shrimai Prabhumoye
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Joseph Jennings
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2024-02-27T10:38:16.476Z
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Joseph Jennings
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Mostofa Patwary
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2024-02-27T10:38:23.518Z
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Mostofa Patwary
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Sandeep Subramanian
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2024-02-27T10:38:30.421Z
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Sandeep Subramanian
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Dan Su
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2025-06-05T07:31:24.099Z
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Dan Su
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Chen Zhu
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Deepak Narayanan
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2024-02-27T10:39:09.758Z
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Deepak Narayanan
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Aastha Jhunjhunwala
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2024-02-27T10:39:15.893Z
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Aastha Jhunjhunwala
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Ayush Dattagupta
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2024-02-27T10:39:22.510Z
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Ayush Dattagupta
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Vibhu Jawa
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Vibhu Jawa
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Jiwei Liu
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2024-02-27T10:39:50.905Z
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Jiwei Liu
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Ameya Mahabaleshwarkar
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2024-02-27T10:40:06.314Z
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Ameya Mahabaleshwarkar
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Osvald Nitski
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Annika Brundyn
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James Maki
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2024-02-27T10:40:49.000Z
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James Maki
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Miguel Martinez
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2024-02-28T08:28:16.328Z
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Miguel
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Jiaxuan You
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John Kamalu
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Patrick LeGresley
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Denys Fridman
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2024-02-27T10:41:40.930Z
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Denys Fridman
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Jared Casper
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Ashwath Aithal
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Oleksii Kuchaiev
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2024-02-27T10:41:55.083Z
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Oleksii Kuchaiev
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Mohammad Shoeybi
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Mohammad Shoeybi
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Jonathan Cohen
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Bryan Catanzaro
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2024-02-27T10:42:34.450Z
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Bryan Catanzaro
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Nemotron-4 15B Technical Report
We introduce Nemotron-4 15B, a 15-billion-parameter large multilingual
language model trained on 8 trillion text tokens. Nemotron-4 15B demonstrates
strong performance when assessed on English, multilingual, and coding tasks: it
outperforms all existing similarly-sized open models on 4 out of 7 downstream
evaluation areas and achieves competitive performance to the leading open
models in the remaining ones. Specifically, Nemotron-4 15B exhibits the best
multilingual capabilities of all similarly-sized models, even outperforming
models over four times larger and those explicitly specialized for multilingual
tasks.
Nemotron-4 15B, a large multilingual language model, excels in English, multilingual, and coding tasks, demonstrating superior performance in multilingual capabilities compared to larger and specialized models.
large multilingual language model downstream evaluation areas multilingual capabilities