b10408
ggml-org/llama.cppb10408Aug 13, 2026by github-actions[bot]
AI Summary
Adds support for SYCL ESIMD (Exponential-SIMD) kernels for multiple quantization types, improving performance on Intel GPUs.
Key Highlights
- Add DMMV ESIMD Q3_K kernel (#26251)
- Refactor ESIMD kernels to share common code
- Move control of ESIMD from compile to runtime
New Features
- SYCL ESIMD support for Q3_K, Q4_K, and Q6_K kernels
Full Release Notes
<details open> sycl : Add DMMV ESIMD Q3_K kernel (#26251) * Add DMMV Q4_K and Q6_K ESIMD kernels Configure cmake build with -DGGML_SYCL_ESIMD=ON to enable. Signed-off-by: Todd Malsbary <todd.malsbary@intel.com> * Refactor ESIMD kernels to share common code Signed-off-by: Todd Malsbary <todd.malsbary@intel.com> * Move control of ESIMD from compile to runtime Signed-off-by: Todd Malsbary <todd.malsbary@intel.com> * Use ESIMD by default when available Signed-off-by: Todd Malsbary <todd.malsbary@intel.com> * Fix possible error when using ESIMD by default While not an issue in the current version, this will become an issue when additional QK ESIMD kernels are added (such as Q2_K). Signed-off-by: Todd Malsbary <todd.malsbary@intel.com> * Add explicit unroll to ESIMD kernels Signed-off-by: Todd Malsbary <todd.malsbary@intel.com> * Tidy up ESIMD kernels a bit Signed-off-by: Todd Malsbary <todd.malsbary@intel.com> * Add DMMV Q3_K ESIMD kernel Signed-off-by: Todd Malsbary <todd.malsbary@intel.com> --------- Signed-off-by: Todd Malsbary <todd.malsbary@intel.com> </details> **Website:** - <https://llama.app> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-ubuntu-arm64.tar.gz) - [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-ubuntu-s390x.tar.gz) - [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-ubuntu-vulkan-x64.tar.gz) - [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-ubuntu-vulkan-arm64.tar.gz) - Ubuntu x64 (ROCm 7.14)[DISABLED](https://github.com/ggml-org/llama.cpp/pull/26969) - [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-ubuntu-openvino-2026.2.1-x64.tar.gz) - [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-ubuntu-sycl-fp32-x64.tar.gz) - [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-ubuntu-sycl-fp16-x64.tar.gz) **Android:** - [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-android-arm64.tar.gz) **Windows:** - [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-win-cpu-x64.zip) - [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-win-cpu-arm64.zip) - [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-win-opencl-adreno-arm64.zip) - [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b10408/cudart-llama-bin-win-cuda-12.4-x64.zip) - [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-win-cuda-13.3-x64.zip) - [CUDA 13.3 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b10408/cudart-llama-bin-win-cuda-13.3-x64.zip) - [Windows arm64 (CUDA 13) (preview)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-win-cuda-13.4-arm64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b10408/cudart-llama-bin-win-cuda-13.4-arm64.zip) - [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-win-vulkan-x64.zip) - [Windows x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-win-openvino-2026.2.1-x64.zip) - [Windows x64 (SYCL)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-win-sycl-x64.zip) - [Windows x64 (ROCm 7.14)](https://github.com/ggml-org/llama.cpp/releases/download/b10408/llama-b10408-bin-win-rocm-7.14-x64.zip) **openEuler:** - [DISABLED](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/b10408/llama-b10408-ui.tar.gz)