b10726
Pre-release
ggml-org/llama.cppb10726Aug 31, 2026by github-actions[bot]
AI Summary
Significant AVX2 performance optimization for large batch prompt processing of IQ quantized models.
Key Highlights
- Batched GEMM for grid IQ quants
- Vectorized IQ panel decode
- Performance speedup for large batch prompt processing
- Added NUMA fallback support
New Features
- Batched GEMM for grid IQ quants
- Vectorized IQ panel decode
Full Release Notes
<details open> AVX2: Speed up large batch size prompt processing of IQ models (#27402) * Batched gemm for grid IQ quants Style updates and a bit more performance Clean up comments Move code around Vectorize IQ panel decode, lower threshold for speedup IQ panel: single-source gather layout, gate bias, vectorize interleave Add ggml_gemm_iqp_8x8_q8_K_p4 kernel, remove gather buffer Move IQ panel code out of repack into iqp.cpp, clean up comments Another comment sweep * Add myself as iqp.* codeownder * Remove ggml_cpu_iqp_scratch_offset and ggml_cpu_iqp_src1_conv_size * Renaming and moving * The other half of renaming and moving * Move macros and ggml_cpu_iqp_mul_mat_id_min_batch definition * Update ggml/src/ggml-cpu/iqp.h Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Add iqp_rows work buffer * Revert "Add iqp_rows work buffer" This reverts commit 425542991eee1b01fa3844bf87fc4f205ddbfccb. * Add NUMA fallback * Add 10 row batch tests for IQP coverage on all grid IQ types * Swap assert for return false in support check * Move IQP mul_mat_id test --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> </details> **Website:** - <https://llama.app> **Attestations:** - <https://github.com/ggml-org/llama.cpp/attestations/44236891> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-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/b10726/llama-b10726-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-ubuntu-arm64.tar.gz) - [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-ubuntu-s390x.tar.gz) - [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-ubuntu-vulkan-x64.tar.gz) - [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-ubuntu-vulkan-arm64.tar.gz) - [Ubuntu x64 (ROCm 7.14)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-ubuntu-rocm-7.14-x64.tar.gz) - [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-ubuntu-openvino-2026.3.1-x64.tar.gz) - [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-ubuntu-sycl-fp32-x64.tar.gz) - [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-ubuntu-sycl-fp16-x64.tar.gz) **Android:** - [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-android-arm64.tar.gz) **Windows:** - [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-win-cpu-x64.zip) - [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-win-cpu-arm64.zip) - [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-win-opencl-adreno-arm64.zip) - [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b10726/cudart-llama-bin-win-cuda-12.4-x64.zip) - [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-win-cuda-13.3-x64.zip) - [CUDA 13.3 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b10726/cudart-llama-bin-win-cuda-13.3-x64.zip) - [Windows arm64 (CUDA 13) (preview)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-win-cuda-13.4-arm64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b10726/cudart-llama-bin-win-cuda-13.4-arm64.zip) - [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b10726/llama-b10726-bin-win-vulkan-x64.zip) - 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