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News/SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training
arxiv
PublishedMay 19, 2026 at 4:00 AM

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training

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arXiv:2605.08738v2 Announce Type: replace-cross Abstract: Structured pruning and knowledge distillation (KD) are typical techniques for compressing large language models, but it remains unclear how they should be applied at pretraining scale, especially to recent mixture-of-experts (MoE) models. In

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