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MiMo v2.5 推理优化:将混合 SWA 效率推向极致

2026-07-11 hackernews

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Inference Optimization for MiMo v2.5: Pushing Hybrid SWA Efficiency to the Limit

MiMo v2.5 推理优化:将混合 SWA 效率推向极致

HN Points: 93 / 37 comments | Author: theanonymousone | HN Discussion: item?id=48814170 | Source: mimo.xiaomi.com

Original Article

The V2.5 model family, including MiMo-V2.5 and MiMo-V2.5-Pro, combines several architectural design choices: Hybrid Sliding Window Attention (Hybrid SWA) compresses KVCache storage to roughly 1/7 that of Full Attention; sparse MoE activation cuts per-token compute while preserving model capacity; and multimodal encoders enable cross-modal understanding across vision, audio, and video. Together, these features give the MiMo-V2.5 series significant performance and efficiency potential in long-context and multimodal scenarios.

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