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LoRazor: Trimming Adapter Execution for Efficient Multi-LoRA Serving

arXiv cs.AI · Xiang Li, Pengcheng Wang, Azam Ikram, Saurabh Bagchi ·

arXiv:2611.10049v1 Announce Type: new Abstract: LoRA offers a parameter-efficient adaptation strategy, supporting multi-user workloads via customized adapters on a shared backbone. However, serving concurrent requests with different adapters introduces substantial computation and memory-management overhead. We ask…

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