TsinghuaC3I/ZEDA-Evaluation

ZEDA Dataset This repository contains the training data for ZEDA (Zero-Expert Self-Distillation Adaptation), a framework introduced in the paper Post-Trained MoE Can Skip Half Experts via Self-Distillation. ZEDA is a low-cost framework that transforms post-trained static MoE models into efficient dynamic ones by injecting zero experts and using self-distillation. Paper: Post-Trained MoE Can Skip Half Experts via Self-Distillation GitHub Repository:… See the full description on the dataset page: https://huggingface.co/datasets/TsinghuaC3I/ZEDA-Evaluation.

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