github llama.cpp · 3h ago · inference

llama.cpp b10657 adds OpenCL bin kernels for GEMO MOE

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The llama.cpp project released version b10657, introducing new OpenCL binary kernels for mixed-expert models. Specifically, the update adds `kernel_gemm_moe_q4_0_q8_1_dp4a_bin` and `kernel_gemm_moe_mxfp4_q8_1_dp4a_bin` to support efficient computation on compatible hardware.

Added OpenCL bin kernels for GEMO MOE with q4_0/q8_1 and mxfp4/q8_1 quantizations.
Provided binaries for macOS (Apple Silicon and Intel), iOS, Linux (CPU, Vulkan, ROCm, OpenVINO, SYCL), Windows (CPU, CUDA 12/13, Vulkan, OpenVINO, SYCL, ROCm), Android, and openEuler.
KleidiAI support on macOS Apple Silicon remains disabled in this release.

This update expands hardware compatibility for mixed-expert models by enabling specific OpenCL kernel implementations.

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