NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
NVIDIA, Daniel Rohrer, Aarti Basant, Abhinav Khattar, Aditya Malte, Andrew Tao, Banghua Zhu(University of Washington), Boris Ginsburg(Nvidia (United States)), Amy Q. Shen(Okinawa Institute of Science and Technology Graduate University), Bita Darvish Rouhani, Ayush Dattagupta, Brandon Norick(University of Illinois Urbana-Champaign), Alexander Bukharin, Ameya Sunil Mahabaleshwarkar, Bryan Catanzaro(Nvidia (United States)), Arun Venkatesan(Johns Hopkins University), А. N. Shaposhnikov, Adithya Renduchintala, Ali Taghibakhshi(Nvidia (United States)), B Chen, Aleksander Ficek, Charles Wang(University College of the Cayman Islands), Chintan Patel, Brian Yu(Merck & Co., Inc., Rahway, NJ, USA (United States)), Dan Su, Akhiad Bercovich, Ashwath Aithal, Daniel Korzekwa, Abhijit Paithankar, Ashwin Poojary, Akshay Hazare, Ann Guan, Bilal Kartal, Daniel Afrimi, Anna Shors, Anubhav Mandarwal, Ashton Sharabiani, Balaram Buddharaju, Abhijit Khairnar, Chetan Mungekar, Chris Alexiuk, Christopher Parisien, Christian Munley, Barnaby Simkin
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