Model Releases
b11970
hexagon: add conv2d support (#30995) hexagon: add conv2d op hex-conv2d: add double-buffered staging hex-conv2d: full 64-wide activation block transpose straight from staged buffer hex-conv2d: implicit
hexagon: add conv2d support (#30995) hexagon: add conv2d op hex-conv2d: add double-buffered staging hex-conv2d: full 64-wide activation block transpose straight from staged buffer hex-conv2d: implicit gemm hex-conv2d: remove scalar path and kernel hex-conv2d: unify conv2d kernel params for all paths hex-conv2d: scale HMX result before f16 storage and then restore during unpacking to prevent overflow hex-conv2d: fix f16 overflow in HMX paths hex-conv2d: refactor to rebase to new op fusion machinery hex-conv2d: restructure DMA pipelines and trace scopes hex-conv2d: removed the HVX_WIDTH and HVX_TILED paths hex-conv2d: remove in-loop vector spills hex-conv2d: refactor kparams, vtcm-layout and dma-pipeline to match the other ops hex-conv2d: add basic support for CONV_2D_DW Co-Authored-By: Pranav Dhinakar pdhinaka@qti.qualcomm.com hex-conv_2d_dw: use DMA in all paths hex-conv_2d_dw: support for chunking larger inputs hex-conv_2d_dw: remove scalar/hvx access for w tensor (replaced with sync dma copy) hex-conv-2d: fix warnings hex-conv2d-dw: vectorize all paths hex-conv-2d-dw: tree-based reductions and unrolling to optimize hex-conv-2d-dw: uninline compute loops from dma loops hex-conv-2d-dw: move all kernel selection into the host solver and simplify/specialize kernel dispatch hex-softmax: update obsolete gates to enable SOFT_MAX for mmproj Co-authored-by: Max Krasnyansky maxk@qti.qualcomm.com Co-authored-by: Pranav Dhinakar pdhinaka@qti.qualcomm.com Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/61015256 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 26.04 s390x (CPU) Ubuntu 26.04 s390x (zDNN) 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
Related
Source: llama.cpp Releases | 2026-10-28