The llama.cpp b11095 release introduces a new HMX-optimized GATED_DELTA_NET (GDN) implementation, alongside various optimizations for Hexagon and Flash Attention kernels.

  • The GDN support includes pipelining, HVX threading, and vectorized operations to improve performance on Qualcomm chips.
  • Flash Attention updates reduce DDR reads by 20-30% during token generation through in-register accumulation and DMA pipeline improvements.
  • The release provides binaries for macOS, Linux, Windows, Android, and openEuler across CPU, CUDA, ROCm, Vulkan, and OpenVINO backends.

This update enhances inference efficiency on specific hardware architectures while maintaining broad compatibility with existing deployment environments.