Pushing MiMo-V2.5 Hybrid SWA Efficiency to the Limit

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

We built an end-to-end inference system for the MiMo-V2.5 series to unlock the true potential of Hybrid Sliding Window Attention. By redesigning our KVCache management and scheduling strategies, we reduced storage needs to roughly one-seventh of traditional models. This engineering breakthrough ensures that our theoretical efficiency gains translate into real-world performance for long-context and multimodal tasks.

"Theoretical architectural advantages do not automatically translate into production efficiency."