b10777

Pre-release

ggml-org/llama.cppb10777Sep 3, 2026by github-actions[bot]

AI Summary

Optimizes SYCL Q4_K weight unpacking and activation reuse between destination columns to reduce redundant work in multi-column matrix multiplication.

Key Highlights

  • Reduce redundant work in Q4_K multi-column MMVQ
  • Optimize SYCL Q4_K weight unpacking and reuse
  • Subgroup reuse of activation between rows

New Features

  • SYCL Q4_K performance optimization

Full Release Notes

<details open>

sycl: reduce redundant work in Q4_K multi-column MMVQ (#27062)

* sycl: Q4_K Weight unpack optimization and reuse between destination Columns

* sycl: Q4_K small N (N=2..4) + two output rows by subgroup reuse of activation between two rows.

* sycl: gate Q4_K two-row reuse for small N=2

* sycl: Fix on magic number now uses Q4_K_MMVQ_ROW_PAIR_MIN_NROWS=6272 for it, added tests for coverage around Q4_K_MMVQ_ROW_PAIR_MIN_NROWS with perf support to test Q4_K MUL_MAT, applied the same  reuse pattern to the activation as the weights.

Assisted-by: GPT-5.6 Sol

---------

Co-authored-by: RaulAbejonDelgado <raul.abejon.delgado@gmail.com>

</details>

**Website:**
- <https://llama.app>

**Attestations:**
- <https://github.com/ggml-org/llama.cpp/attestations/44932757>

**macOS/iOS:**
- [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b10777/llama-b10777-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/b10777/llama-b10777-bin-macos-x64.tar.gz)
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**Linux:**
- [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10777/llama-b10777-bin-ubuntu-x64.tar.gz)
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- [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b10777/llama-b10777-bin-ubuntu-openvino-2026.3.1-x64.tar.gz)
- [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/b10777/llama-b10777-bin-ubuntu-sycl-fp32-x64.tar.gz)
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**Android:**
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**Windows:**
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- [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10777/llama-b10777-bin-win-cpu-arm64.zip)
- [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b10777/llama-b10777-bin-win-opencl-adreno-arm64.zip)
- [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b10777/llama-b10777-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b10777/cudart-llama-bin-win-cuda-12.4-x64.zip)
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- [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b10777/llama-b10777-bin-win-vulkan-x64.zip)
- [Windows x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b10777/llama-b10777-bin-win-openvino-2026.3.1-x64.zip)
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- [Windows x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/b10777/llama-b10777-bin-win-rocm-10.0-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/b10777/llama-b10777-ui.tar.gz)