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Autori principali: Parmar, Jupinder, Prabhumoye, Shrimai, Jennings, Joseph, Patwary, Mostofa, Subramanian, Sandeep, Su, Dan, Zhu, Chen, Narayanan, Deepak, Jhunjhunwala, Aastha, Dattagupta, Ayush, Jawa, Vibhu, Liu, Jiwei, Mahabaleshwarkar, Ameya, Nitski, Osvald, Brundyn, Annika, Maki, James, Martinez, Miguel, You, Jiaxuan, Kamalu, John, LeGresley, Patrick, Fridman, Denys, Casper, Jared, Aithal, Ashwath, Kuchaiev, Oleksii, Shoeybi, Mohammad, Cohen, Jonathan, Catanzaro, Bryan
Natura: Preprint
Pubblicazione: 2024
Soggetti:
Computation and Language
Artificial Intelligence
Machine Learning
Accesso online:https://arxiv.org/abs/2402.16819
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Sommario:
  • 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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