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Accordion: Elastic-Depth Inference via Fixed-Prefix Layer Looping
Large language models serve applications with diverse inference budgets, but training and maintaining separate models for each budget incurs substantial costs. Recent Looped Transformers enable flexible inference computation through parameter reuse, but maintaining strong performance across differen
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