Navigating the Accuracy-Size Trade-Off with Flexible Model Merging

FlexMerge is a novel framework that allows for flexible merging of multiple fine-tuned models into varying size configurations, addressing the trade-off between accuracy and model size. This development is crucial for developers as it optimizes storage costs while maintaining or improving multi-task performance, offering insights into how different merging algorithms perform across various sizes.

Read the full article at arXiv cs.CV (Vision)

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