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MWOP: Modality-aware Width-wise Operation Pruning for Efficient MLLMs
Multimodal large language models (MLLMs) incur substantial inference costs when processing long visual-textual sequences. While existing operation compression methods exploit modality-level redundancy, they largely treat computation within attention heads and shared feed-forward network (FFN) channe
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