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ENTITY Qwen MoE

Qwen MoE

PulseAugur coverage of Qwen MoE — every cluster mentioning Qwen MoE across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_51135 ·

    HEAPr algorithm precisely prunes LLM experts, cutting memory needs

    Researchers have developed HEAPr, a new pruning algorithm designed to reduce the memory footprint of Mixture-of-Experts (MoE) large language models. Unlike previous methods that prune entire experts, HEAPr breaks down e…

  2. TOOL · CL_29430 ·

    New framework enhances MoE LLMs on noisy analog hardware

    Researchers have introduced ROMER, a post-training calibration framework designed to enhance the robustness of Mixture-of-Experts (MoE) Large Language Models (LLMs) when deployed on analog Compute-in-Memory (CIM) system…