llama.cpp b11580 பதிவிறக்கம்

hexagon: extend scalar DMA broadcasting support for binary ops (#30245)
- tests: cover weighted scalar broadcasts
Assisted-by: OpenCode
- ggml : support extended scalar DMA binary ops
Assisted-by: OpenCode
- hex-binary: remove all non-dma paths
- hex-binary: add support for non-contig strides and cleanup dma preable a bit
- hex-binary: cleanup the gating and simplify dma retry
- hex-geglu-erf: add a gate for F32 only, we dont support F16 for this op
- tests: cover weighted repeat broadcast
Assisted-by: OpenCode
- hex-binary: update REPEAT and COMPLEX kernels to use dma as well (missed them last time)
- hex-add-id: add dma support for src2 (idx)
Co-authored-by: Max Krasnyansky maxk@qti.qualcomm.com
Website:
- https://llama.app
Attestations:
- https://github.com/ggml-org/llama.cpp/attestations/55272788
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