ModelBest has developed a technique called Lookahead Expert Scheduling that allows a 35 billion parameter mixture-of-experts model to run on an iPhone 18 Pro Max at over 20 tokens per second. This method activates approximately 3 billion parameters per token, with expert weights loading on demand from flash storage. The company has also reduced the model's file size from 19.7GB to 14.44GB using mixed-precision quantization, and the code has been open-sourced. AI
IMPACT Demonstrates feasibility of running large-scale MoE models on mobile devices, potentially enabling more powerful on-device AI applications.
RANK_REASON Open-source release of a novel technique for running large MoE models on consumer devices. [lever_c_demoted from research: ic=1 ai=1.0]
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