The llama.cpp project released version b11132, introducing support for the Gemma 4 DSpark draft backbone. This update enables GGUF conversion and runtime capabilities for full-attention and SWA Gemma 4 drafts, including tied output weights and boolean backbone metadata.

  • Added dspark support for Gemma 4 draft models with full-attention and SWA variants.
  • Implemented inference of Gemma draft features from metadata via the dflash mechanism.
  • Released binaries for macOS (Apple Silicon and Intel), Linux (CPU, Vulkan, CUDA, ROCm, OpenVINO, SYCL, Snapdragon), Windows (CPU, OpenCL, CUDA, Vulkan, OpenVINO, SYCL, ROCm), Android, and iOS.

This release allows users to utilize Gemma 4 models within the llama.cpp ecosystem on a wide range of hardware platforms.