b9893
ggml-org/llama.cppb9893Jul 7, 2026by github-actions[bot]
AI Summary
Focuses on OpenCL flash attention decode performance optimizations with multiple kernel improvements and bug fixes for various quantization formats and model configurations.
Key Highlights
- OpenCL flash attention decode performance optimizations
- Fix for DK=512 decode crash in Gemma-4 models
- Multiquery FA support improvements
- Split f16-KV decode into finer chunks for better GPU utilization
New Features
- OpenCL flash attention decode performance improvements
- DK=512 decode-only program fixes
- Multiquery FA kernel optimizations
Full Release Notes
<details open> opencl: general flash attention decode performance optimizations (#25366) * opencl: vec flash-attention decode kernels for f16/q8_0/q4_0 KV * opencl: improve non FA KQ mv kernels * opencl: tweaks for multiquery FA * opencl: some tweaks for FA q1 kernels * opencl: FA with DK=DV=512 for gemma-4 * opencl: various fixes * opencl: cleanup * opencl: fix FA decode crash for DK=512 (gemma-4) The DK=512 decode-only program does not create the f32_f16 prefill kernel, so the compiled check in ensure_fa_variant never hit and supports_op gave inconsistent answers for the same op. block_n is also unset for DK=512 decode; guard it to avoid an out-of-range read at dispatch. * opencl: run DK=512 FA decode on CPU DK=512 decode is bandwidth-bound and faster on the CPU than the GPU, increasingly so with depth. Decline it in supports_op; prefill stays on the GPU. * opencl: compile MQ_GQA=8 FA kernels in a minimal program The full program compiled with -D MQ_GQA=8 runs the Adreno compiler out of memory at DK>=256. Only the vec_mq kernels are used from this program, so compile it with FA_MQ_ONLY, which excludes everything else. Also include the program name in the compile error log. * opencl: remove stray token in flash_attn_f32_f16.cl A stray "." broke the f32_f16 program build. * opencl: split f16-KV FA decode finer (FD_KV_PER_SPLIT_F16) The 2048 default under-fills the GPU on single-query f16-KV decode; use 512 for f16 KV to get more splits. Quantized KV keeps 2048. --------- Co-authored-by: Li He <lih@qti.qualcomm.com> </details> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-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/b9893/llama-b9893-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-ubuntu-arm64.tar.gz) - [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-ubuntu-s390x.tar.gz) - [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-ubuntu-vulkan-x64.tar.gz) - [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-ubuntu-vulkan-arm64.tar.gz) - [Ubuntu x64 (ROCm 7.2)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-ubuntu-rocm-7.2-x64.tar.gz) - [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-ubuntu-openvino-2026.2.1-x64.tar.gz) - [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-ubuntu-sycl-fp32-x64.tar.gz) - [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-ubuntu-sycl-fp16-x64.tar.gz) **Android:** - [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-android-arm64.tar.gz) **Windows:** - [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-win-cpu-x64.zip) - [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-win-cpu-arm64.zip) - [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-win-opencl-adreno-arm64.zip) - [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b9893/cudart-llama-bin-win-cuda-12.4-x64.zip) - [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-win-cuda-13.3-x64.zip) - [CUDA 13.3 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b9893/cudart-llama-bin-win-cuda-13.3-x64.zip) - [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-win-vulkan-x64.zip) - [Windows x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-win-openvino-2026.2.1-x64.zip) - [Windows x64 (SYCL)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-win-sycl-x64.zip) - [Windows x64 (HIP)](https://github.com/ggml-org/llama.cpp/releases/download/b9893/llama-b9893-bin-win-hip-radeon-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/b9893/llama-b9893-ui.tar.gz)