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LvLLM is a special NUMA extension of vllm that makes full use of CPU and memory resources, reduces GPU memory requirements, and features an efficient GPU parallel and NUMA parallel architecture, supporting hybrid inference for MOE large models.
In a distributed survey conducted via Amazon Mechanical Turk between December 3rd and 5th, 2016, data was collected from 30 Fitbit users. These users consented to sharing their minute-level physical activity, heart rate, and sleep monitoring data.