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B
Introduction
In this technical report, we present Baichuan 2, a series of large-scale multilingual language models containing 7 billion and 13 billion parameters, trained from scratch, on 2.6 trillion tokens.
Benchmarking
FLOPs1.092e+23
Notes: 7b * 2.6t * 6 = 1.092e23 Also mentions 1,024 NVIDIA A800 GPUs at 180 TFLOPS per GPU
Training
Dataset Size2600000000000
HardwareNVIDIA A800
Hardware Quantity1024
Parameters
Parameters7000000000
Authors
Aiyuan Yang Bin Xiao Bingning Wang Borong Zhang Chao Yin Chenxu Lv Da Pan Dian Wang Dong Yan Fan Yang Fei Deng Feng Wang Feng Liu Guangwei Ai Guosheng Dong Haizhou Zhao Hang Xu Haoze Sun Hongda Zhang Hui Liu Jiaming Ji Jian Xie Juntao Dai Kun Fang Lei Su Liang Song Lifeng Liu Liyun Ru Luyao Ma Mang Wang Mickel Liu MingAn Lin Nuolan Nie Peidong Guo Ruiyang Sun Tao Zhang Tianpeng Li Tianyu Li Wei Cheng Weipeng Chen Xiangrong Zeng Xiaochuan Wang Xiaoxi Chen Xin Men Xin Yu Xuehai Pan Yanjun Shen Yiding Wang Yiyu Li Youxin Jiang Yuchen Gao Yupeng Zhang Zenan Zhou Zhiying Wu
