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Nemotron-4 15B Technical Report
Feb. 27, 2024, 5:50 a.m. | Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Mostofa Patwary, Sandeep Subramanian, Dan Su, Chen Zhu, Deepak Narayanan, Aastha Jhunjhunwala, A
cs.CL updates on arXiv.org arxiv.org
Abstract: 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 …
abstract arxiv billion coding cs.ai cs.cl cs.lg english evaluation language language model multilingual multilingual language model open models performance report tasks technical text tokens type
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