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DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Autor: DeepSeek-AI, Liu, Aixin, Feng, Bei, Wang, Bin, Wang, Bingxuan, Liu, Bo, Zhao, Chenggang, Dengr, Chengqi, Ruan, Chong, Dai, Damai, Guo, Daya, Yang, Dejian, Chen, Deli, Ji, Dongjie, Li, Erhang, Lin, Fangyun, Luo, Fuli, Hao, Guangbo, Chen, Guanting, Li, Guowei, Zhang, H., Xu, Hanwei, Yang, Hao, Zhang, Haowei, Ding, Honghui, Xin, Huajian, Gao, Huazuo, Li, Hui, Qu, Hui, Cai, J. L., Liang, Jian, Guo, Jianzhong, Ni, Jiaqi, Li, Jiashi, Chen, Jin, Yuan, Jingyang, Qiu, Junjie, Song, Junxiao, Dong, Kai, Gao, Kaige, Guan, Kang, Wang, Lean, Zhang, Lecong, Xu, Lei, Xia, Leyi, Zhao, Liang, Zhang, Liyue, Li, Meng, Wang, Miaojun, Zhang, Mingchuan, Zhang, Minghua, Tang, Minghui, Li, Mingming, Tian, Ning, Huang, Panpan, Wang, Peiyi, Zhang, Peng, Zhu, Qihao, Chen, Qinyu, Du, Qiushi, Chen, R. J., Jin, R. L., Ge, Ruiqi, Pan, Ruizhe, Xu, Runxin, Chen, Ruyi, Li, S. S., Lu, Shanghao, Zhou, Shangyan, Chen, Shanhuang, Wu, Shaoqing, Ye, Shengfeng, Ma, Shirong, Wang, Shiyu, Zhou, Shuang, Yu, Shuiping, Zhou, Shunfeng, Zheng, Size, Wang, T., Pei, Tian, Yuan, Tian, Sun, Tianyu, Xiao, W. L., Zeng, Wangding, An, Wei, Liu, Wen, Liang, Wenfeng, Gao, Wenjun, Zhang, Wentao, Li, X. Q., Jin, Xiangyue, Wang, Xianzu, Bi, Xiao, Liu, Xiaodong, Wang, Xiaohan, Shen, Xiaojin, Chen, Xiaokang, Chen, Xiaosha, Nie, Xiaotao, Sun, Xiaowen, Wang, Xiaoxiang, Liu, Xin, Xie, Xin, Yu, Xingkai, Song, Xinnan, Zhou, Xinyi, Yang, Xinyu, Lu, Xuan, Su, Xuecheng, Wu, Y., Li, Y. K., Wei, Y. X., Zhu, Y. X., Xu, Yanhong, Huang, Yanping, Li, Yao, Zhao, Yao, Sun, Yaofeng, Li, Yaohui, Wang, Yaohui, Zheng, Yi, Zhang, Yichao, Xiong, Yiliang, Zhao, Yilong, He, Ying, Tang, Ying, Piao, Yishi, Dong, Yixin, Tan, Yixuan, Liu, Yiyuan, Wang, Yongji, Guo, Yongqiang, Zhu, Yuchen, Wang, Yuduan, Zou, Yuheng, Zha, Yukun, Ma, Yunxian, Yan, Yuting, You, Yuxiang, Liu, Yuxuan, Ren, Z. Z., Ren, Zehui, Sha, Zhangli, Fu, Zhe, Huang, Zhen, Zhang, Zhen, Xie, Zhenda, Hao, Zhewen, Shao, Zhihong, Wen, Zhiniu, Xu, Zhipeng, Zhang, Zhongyu, Li, Zhuoshu, Wang, Zihan, Gu, Zihui, Li, Zilin, Xie, Ziwei

We present DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference. It comprises 236B total parameters, of which 21B are activated for each token, and supports a context length of 128

Externí odkaz: http://arxiv.org/abs/2405.04434

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DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Autor: DeepSeek-AI, Bi, Xiao, Chen, Deli, Chen, Guanting, Chen, Shanhuang, Dai, Damai, Deng, Chengqi, Ding, Honghui, Dong, Kai, Du, Qiushi, Fu, Zhe, Gao, Huazuo, Gao, Kaige, Gao, Wenjun, Ge, Ruiqi, Guan, Kang, Guo, Daya, Guo, Jianzhong, Hao, Guangbo, Hao, Zhewen, He, Ying, Hu, Wenjie, Huang, Panpan, Li, Erhang, Li, Guowei, Li, Jiashi, Li, Yao, Li, Y. K., Liang, Wenfeng, Lin, Fangyun, Liu, A. X., Liu, Bo, Liu, Wen, Liu, Xiaodong, Liu, Xin, Liu, Yiyuan, Lu, Haoyu, Lu, Shanghao, Luo, Fuli, Ma, Shirong, Nie, Xiaotao, Pei, Tian, Piao, Yishi, Qiu, Junjie, Qu, Hui, Ren, Tongzheng, Ren, Zehui, Ruan, Chong, Sha, Zhangli, Shao, Zhihong, Song, Junxiao, Su, Xuecheng, Sun, Jingxiang, Sun, Yaofeng, Tang, Minghui, Wang, Bingxuan, Wang, Peiyi, Wang, Shiyu, Wang, Yaohui, Wang, Yongji, Wu, Tong, Wu, Y., Xie, Xin, Xie, Zhenda, Xie, Ziwei, Xiong, Yiliang, Xu, Hanwei, Xu, R. X., Xu, Yanhong, Yang, Dejian, You, Yuxiang, Yu, Shuiping, Yu, Xingkai, Zhang, B., Zhang, Haowei, Zhang, Lecong, Zhang, Liyue, Zhang, Mingchuan, Zhang, Minghua, Zhang, Wentao, Zhang, Yichao, Zhao, Chenggang, Zhao, Yao, Zhou, Shangyan, Zhou, Shunfeng, Zhu, Qihao, Zou, Yuheng

The rapid development of open-source large language models (LLMs) has been truly remarkable. However, the scaling law described in previous literature presents varying conclusions, which casts a dark cloud over scaling LLMs. We delve into the study o

Externí odkaz: http://arxiv.org/abs/2401.02954

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Topological Quantum Materials for Energy Conversion and Storage

Autor: Luo, Huixia, Yu, Peifeng, Li, Guowei, Yan, Kai

Publikováno v: Nature Reviews Physics,2022,4,611-624

Topological quantum materials (TQMs) have symmetry protected band structures with useful electronic properties that have applications in information, sensing, energy, and other technologies. In the past 10 years, the applications of TQMs in the field

Externí odkaz: http://arxiv.org/abs/2309.03488

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Akademický článek

Energy conversion materials need phonons

Autor: Ma, Dandan, Ma, Yuzhe, Ma, Jinfu, Yang, Qun, Felser, Claudia, Li, Guowei

Publikováno v: In The Innovation 4 November 2024 5(6)

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