Developer Tools

llama.cpp b9139 fixes GPU profiling overflow, adds no major features

New patch for the 110k-star local LLM runtime squashes a GPU timestamp bug...

Deep Dive

The llama.cpp project, a high-performance C/C++ implementation for running large language models locally, rolled out version b9139 on May 13, 2024. This is a minor patch release focused on stability. The key fix addresses a GPU profiling timestamp bug: "flush the gpu profile timestamp before the queryset is overflowed" — ensuring accurate performance measurements when tracking GPU activity across multiple query sets. The change is small but important for developers profiling inference on GPUs.

As expected from the project, b9139 provides pre-compiled binaries for all major platforms: macOS (Apple Silicon, Intel, iOS XCFramework, plus a KleidiAI-enabled ARM64 build), Linux (CPU on x64, ARM64, s390x; GPU backends including Vulkan, ROCm 7.2, OpenVINO, and SYCL with FP32/FP16), Windows (CPU x64/ARM64, CUDA 12.4, CUDA 13.1, Vulkan, SYCL, HIP), Android arm64, and openEuler (x86 and aarch64 with ACL Graph). The release is signed with a verified GPG key. Users can upgrade by downloading the appropriate asset from the GitHub release page.

Key Points
  • Fixes a GPU profile timestamp overflow bug when query sets exceed capacity
  • Pre-built binaries for 20+ platform/backend combinations including CUDA 13, ROCm 7.2, Vulkan, SYCL
  • No new features — purely a stability patch for the 110k-star open-source project

Why It Matters

Small bug fix ensures accurate GPU profiling for developers running local LLMs on llama.cpp across all platforms.