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Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Fuente: arXiv
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Bibliographic Details
Main Authors: Microsoft, :, Abouelenin, Abdelrahman, Ashfaq, Atabak, Atkinson, Adam, Awadalla, Hany, Bach, Nguyen, Bao, Jianmin, Benhaim, Alon, Cai, Martin, Chaudhary, Vishrav, Chen, Congcong, Chen, Dong, Chen, Dongdong, Chen, Junkun, Chen, Weizhu, Chen, Yen-Chun, Chen, Yi-ling, Dai, Qi, Dai, Xiyang, Fan, Ruchao, Gao, Mei, Gao, Min, Garg, Amit, Goswami, Abhishek, Hao, Junheng, Hendy, Amr, Hu, Yuxuan, Jin, Xin, Khademi, Mahmoud, Kim, Dongwoo, Kim, Young Jin, Lee, Gina, Li, Jinyu, Li, Yunsheng, Liang, Chen, Lin, Xihui, Lin, Zeqi, Liu, Mengchen, Liu, Yang, Lopez, Gilsinia, Luo, Chong, Madan, Piyush, Mazalov, Vadim, Mitra, Arindam, Mousavi, Ali, Nguyen, Anh, Pan, Jing, Perez-Becker, Daniel, Platin, Jacob, Portet, Thomas, Qiu, Kai, Ren, Bo, Ren, Liliang, Roy, Sambuddha, Shang, Ning, Shen, Yelong, Singhal, Saksham, Som, Subhojit, Song, Xia, Sych, Tetyana, Vaddamanu, Praneetha, Wang, Shuohang, Wang, Yiming, Wang, Zhenghao, Wu, Haibin, Xu, Haoran, Xu, Weijian, Yang, Yifan, Yang, Ziyi, Yu, Donghan, Zabir, Ishmam, Zhang, Jianwen, Zhang, Li Lyna, Zhang, Yunan, Zhou, Xiren
Format: Preprint
Published: 2025
Subjects:
Computation and Language
Artificial Intelligence
Machine Learning
Online Access:
Acceder al recurso
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