Empowering Hybrid Attention Models on NPUs.

arXiv:2609.32114v1 Announce Type: cross Abstract: Hybrid attention models have emerged as a crucial architecture for Large Language Models (LLMs) (e.g., the Qwen3.5 and Kimi series). Their memory and computational efficiency make them highly attractive for on-