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LLM in a flash: Efficient Large Language Model Inference wit

LLM in a flash: Efficient Large Language Model Inference with Limited Memory

LLM in a flash: Efficient Large Language Model Inference with Limited Memory

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Mehrdad Farajtabar , Dmitry Belenko , Lailin Chen , Matt Johnson , Qichen Fu , Vu Li , Karen Khatamifard , Mohammad Samragh , Mohammad Rastegari , Moin Nabi , Aftab Munshi , Itay Sagron , Dominic Giampaolo , Lin Chang , Mahyar Najibi , Taal Uliel , Keivan Alizadeh , Iman Mirzadeh , Sachin Mehta , Minsik Cho , Forward Network , Feedforward Network , Energy Constraints , Forward Networks Ffns , Large Language Model Inference , Primary Author , Major Contribution , Carloc Del Mundo , Senior Author , Dynamic Random Access Memory , Data Load , Data Chunk Size , Loaded Data , Feed Forward Network , Data Management , Sliding Window , Transfer Throughput , Increased Chunk , Feed Forward Networks , New Neurons , Data Loading , Translation Lookaside Buffer , Attention Model , Loaded Feed Forward , Etai Zaltsman ,