Pre-release / continuous build: this is an experimental build, not a stable release.
vulkan: sparse flash attention for quantized K/V (#29639) * vulkan: sparse flash attention for quantized K/V Assisted-by: Claude * vulkan: single-scan sparse FA index compaction The compaction ran one workgroup per mask row and walked the row in BLOCK_SIZE chunks, with a workgroup scan per chunk. For decode that is one workgroup doing KV/1024 barrier-bound iterations, so at 128k cells it cost more than the sparse attention it feeds. Split the row into contiguous segments instead: one per subgroup with ballot counting over coalesced loads, or one per thread without subgroups. A single scan over the segment counts then gives each segment its output offset. The index list stays ascending.Website: - https://llama.app
Attestations: - https://github.com/ggml-org/llama.cpp/attestations/52797762
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