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[Paper] Stepped MoE: Segment-Level Routing with Configurable Inference Complexity

Training large language models (LLMs) is resource-intensive, and adapting them for diverse deployment scenarios with varying computational constraints remains challenging. While elastic architectures enable flexible model deployment and sparsely activated models allow input-adaptive computation, ex…

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  1. 2026-10-09 07:39 · r/LocalLLaMA
    [Paper] Stepped MoE: Segment-Level Routing with Configurable Inference Complexity

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