distributed cache 1hybrid sliding window attention 1kvcache optimization 1mixture-of-experts 1multimodal inference 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.AR2026
Full-Pipeline Inference Optimization for MiMo-V2.5 Series: Pushing Hybrid SWA Efficiency to the Limit
Xiaomi MiMo Team, Anqi Liu, Aoxin Ma +28
The paper describes a production-ready inference system for the MiMo-V2.5 large language model family that combines hybrid sliding window attention, sparse mixture-of-experts, and…
cs.CL2026
TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation
Lin Sun, Guangxiang Zhao, Xiaoqi Jian +18
The challenge of reducing the size of Large Language Models (LLMs) while maintaining their performance has gained significant attention. However, existing methods, such as model di…
cs.LG2025
iFairy: the First 2-bit Complex LLM with All Parameters in
Feiyu Wang, Guoan Wang, Yihao Zhang +7
Quantization-Aware Training (QAT) integrates quantization into the training loop, enabling LLMs to learn robust low-bit representations, and is widely recognized as one of the most…