b12263

<details open> cuda：VMMプールの予約サイズを半分にし、cuMemAddressReserve失敗時に再試行する（#30542） * cuda：CUDAのメモリ不足エラーにより、統合メモリ搭載GPUでVMMプールの予約サイズを8 GBに引き下げる 補助者：Gemini Argon * cuda：VMMプールの予約サイズを半分にし、失敗時に再試行する 補助者：Gemini Argon * cuda：CUDA_ERROR_OUT_OF_MEMORYの場合のみVMMプールを縮小する 補助者：Gemini Argon * cuda：VMMプールの予約が最大サイズ未満の場合に警告をログする 補助者：Gemini Argon </details> **ウェブサイト：** - <https://llama.app> **証明書：** - <https://github.com/ggml-org/llama.cpp/attestations/66083092> **macOS/iOS：** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI有効) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-xcframework.zip) **Linux：** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-arm64.tar.gz) - [Ubuntu 24.04 s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-s390x.tar.gz) - [Ubuntu 26.04 s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-26.04-s390x.tar.gz) - [Ubuntu 26.04 s390x (zDNN)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-zdnn-s390x.tar.gz) - [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-vulkan-x64.tar.gz) - [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-vulkan-arm64.tar.gz) - [Ubuntu x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-cuda-12.8-x64.tar.gz) - [CUDA 12.8ライブラリ](https://github.com/ggml-org/llama.cpp/releases/download/b12263/cudart-llama-b12263-bin-ubuntu-cuda-12.8-x64.tar.gz) - [Ubuntu x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-cuda-13.5-x64.tar.gz) - [CUDA 13.5ライブラリ](https://github.com/ggml-org/llama.cpp/releases/download/b12263/cudart-llama-b12263-bin-ubuntu-cuda-13.5-x64.tar.gz) - [Ubuntu arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-cuda-13.5-arm64.tar.gz) - [CUDA 13.5ライブラリ](https://github.com/ggml-org/llama.cpp/releases/download/b12263/cudart-llama-b12263-bin-ubuntu-cuda-13.5-arm64.tar.gz) - [Ubuntu x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-rocm-10.0-x64.tar.gz) - [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-openvino-2026.4.1-x64.tar.gz) - [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-sycl-fp32-x64.tar.gz) - [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-ubuntu-sycl-fp16-x64.tar.gz) - [Linux arm64 (Snapdragon：CPU、Adreno GPU、Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-linux-arm64-snapdragon.tar.gz) - [セットアップガイド](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/linux.md) **Android：** - [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-android-arm64.tar.gz) - [Android arm64 (Snapdragon：CPU、Adreno GPU、Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-android-arm64-snapdragon.tar.gz) - [セットアップガイド](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/README.md) **Windows：** - [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-win-cpu-x64.zip) - [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-win-cpu-arm64.zip) - [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-win-opencl-adreno-arm64.zip) - [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b12263/cudart-llama-bin-win-cuda-12.4-x64.zip) - [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-win-cuda-13.5-x64.zip) - [CUDA 13.5 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b12263/cudart-llama-bin-win-cuda-13.5-x64.zip) - [Windows arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-win-cuda-13.5-arm64.zip) - [CUDA 13.5 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b12263/cudart-llama-bin-win-cuda-13.5-arm64.zip) - [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-win-vulkan-x64.zip) - [Windows arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-win-vulkan-arm64.zip) - [Windows x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-win-openvino-2026.4.1-x64.zip) - [Windows x64 (SYCL)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-win-sycl-x64.zip) - [Windows x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-bin-win-rocm-10.0-x64.zip) **openEuler:** - [無効化](https://github.com/ggml-org/llama.cpp/pull/23705) - openEuler x86 (310p) - openEuler x86 (910b, ACL Graph) - openEuler aarch64 (310p) - openEuler aarch64 (910b, ACL Graph) **UI:** - [UI](https://github.com/ggml-org/llama.cpp/releases/download/b12263/llama-b12263-ui.tar.gz)