The llama.cpp project has released build b10868, which introduces IQ type handling for Mixture of Experts (MoE) models.

  • Adds support for IQ quantization types within MoE architectures via pull request #28476.
  • Provides binaries for macOS (Apple Silicon and Intel), Linux (CPU, Vulkan, ROCm, OpenVINO, SYCL), Windows (CPU, CUDA 12/13, Vulkan, OpenCL, ROCm, SYCL), Android, and openEuler.
  • Includes iOS XCFramework support and a standalone UI package.

This update enables users to run MoE models with specific IQ quantization types across a wide range of hardware platforms.