Pre-release / continuous build: this is an experimental build, not a stable release.
cuda : add BF16 support for XIELU (#29955) The XIELU CUDA kernel template is already generic over the element type; only the F32/F16 type assertion and the else-if dispatch were missing. Add the nv_bfloat16 branch to the launcher, and drop the temporary supports_op gate in ggml-cuda.cu that rejected BF16+XIELU. test-backend-ops gains two BF16 cases ([10,5,4,3] and [512,16,1,1]). docs/ops/CUDA.csv and docs/ops.md are regenerated; the F32 xIELU row flips from no to yes as well, i.e. the previous record was stale. Tested: - Mac CPU: xIELU F32/F16/BF16, 6/6 - Mac Metal: existing F32/F16, 4/4; BF16 still unsupported - RTX 4090 CUDA: xIELU F32/F16/BF16, 6/6 - RTX 4090 CUDA BF16-only: 2/2 - git diff --check passesWebsite: - https://llama.app
Attestations: - https://github.com/ggml-org/llama.cpp/attestations/53344987
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