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MobileLLM focuses on designing optimized smaller models using techniques like embedding sharing and block-wise weight sharing. It aims to improve accuracy without solely relying on the number of parameters. The shift towards on-device models not only enhances performance but also addresses concerns related to cloud costs, latency, energy consumption, and carbon emissions.
元記事: https://www.infoq.com/news/2024/11/meta-mobilellm/