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#production-inference

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Models & Research

JumpLoRA's Sparse Adapters Break the Assumption That Continual Fine-Tuning Requires Full-Rank LoRA Stacks

JumpLoRA adds learnable JumpReLU gates to LoRA blocks for 87-95% sparse adapters with near-zero cross-task overlap. The work exposes that PEFT has no router for continual.