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ggml-cpu : keep the FP16->FP32 lookup table on x86 with F16C (#30342) (#30343) ggml-cpu : keep the FP16->FP32 lookup table on x86 with F16C (#30342) #30270 routed both scalar conversions through F16C. For FP16->FP32, Clang 20.1.8 lowers the intrinsic to a vpinsrw merging into the live accumulator register of the quantized dot products, which serialises the loop (19 vs 4 cycles/iteration estimated, 45-65% slower Q8_0/Q4_0 MUL_MAT_ID kernels measured). Keep F16C for FP32->FP16 as intended and the table for FP16->FP32. ggml-cpu : comment out the F16C FP16->FP32 define instead of removing it (review) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/56105849 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (CUDA 12) - CUDA 12.8 libraries Ubuntu x64 (CUDA 13) - CUDA 13.4 libraries Ubuntu arm64 (CUDA 13) - CUDA 13.4 libraries Ubuntu x64 (ROCm 10.0) Ubuntu x64 (OpenVINO) Ubuntu x64 (SYCL FP32) Ubuntu x64 (SYCL FP16) Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide Android: Android arm64 (CPU) Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows arm64 (OpenCL Adreno) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.4 DLLs Windows arm64 (CUDA 13) - CUDA 13.4 DLLs Windows x64 (Vulkan) Windows arm64 (Vulkan) Windows x64 (OpenVINO) Windows x64 (SYCL) Windows x64 (ROCm 10.0) openEuler: DISABLED openEuler x86 (310p) openEuler x86 (910b, ACL Graph) openEuler aarch64 (310p) openEuler aarch64 (910b, ACL Graph) UI: UI

Source: llama.cpp Releases | 2026-10-15