LLM in a flash: Efficient Large Language Model Inference with Limited Memory. - Keivan Alizadeh; Iman Mirzadeh; Dmitry Belenko; Karen Khatamifard; Minsik Cho; Carlo C. del Mundo; Mohammad Rastegari; Mehrdad Farajtabar (CoRR, 2023)

LLM in a flash: Efficient Large Language Model Inference with Limited Memory. - Keivan Alizadeh; Iman Mirzadeh; Dmitry Belenko; S. Khatamifard; Minsik Cho; Carlo C. del Mundo; Mohammad Rastegari; Mehrdad Farajtabar (ACL (1), 2024)

Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. - Keivan Alizadeh-Vahid; Seyed-Iman Mirzadeh; Hooman Shahrkokhi; Dmitry Belenko; Frank Sun; Minsik Cho; Mohammad Hossein Sekhavat; Moin Nabi; Mehrdad Farajtabar (ENLSP, 2024)

OpenELM: An Efficient Language Model Family with Open Training and Inference Framework. - Sachin Mehta; Mohammad Hossein Sekhavat; Qingqing Cao; Maxwell Horton; Yanzi Jin; Chenfan Sun; Iman Mirzadeh; Mahyar Najibi; Dmitry Belenko; Peter Zatloukal; Mohammad Rastegari (CoRR, 2024)

Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. - Keivan Alizadeh; Iman Mirzadeh; Hooman Shahrokhi; Dmitry Belenko; Frank Sun; Minsik Cho; Mohammad Hossein Sekhavat; Moin Nabi; Mehrdad Farajtabar (CoRR, 2024)