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Home/Coding Tools
Coding Tools

llama.cpp b12175 fixes CI hangs, adds ROCm 10 and CUDA 13

llama.cpp Releases·November 7, 2026·high confidence

Why it matters

  • →Fixes CI hangs that were blocking reliable binary generation for self-hosted runners.
  • →Adds native ROCm 10.0 support, improving AMD GPU compatibility for local inference.
  • →Updates CUDA support to version 13, ensuring compatibility with the latest NVIDIA driver stacks.

llama.cpp version b12175 addresses critical CI stability issues and updates backend support for modern hardware stacks. The release fixes a threading concurrency bug in test-llama-context that caused hangs on self-hosted CPU runners, ensuring more reliable automated builds. Key technical additions include native support for ROCm 10.0 and CUDA 13 (up to 13.5) on Linux and Windows platforms. Apple Silicon builds now include KleidiAI optimizations, though this feature is disabled by default in the precompiled binaries. The update maintains broad compatibility across x64, arm64, and specialized architectures like openEuler.

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The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

llama.cpp b11027 adds CUDA 13 and ROCm 10 builds — llama.cpp Releases1llama.cpp b11155 adds ROCm 10 and CUDA 13 support — llama.cpp Releases2llama.cpp b12175 fixes CI hangs, adds ROCm 10 and CUDA 13Sep 18You are here

How we got here

  1. 1
    llama.cpp b11027 adds CUDA 13 and ROCm 10 builds

    llama.cpp Releases · September 18, 2026 · Same story

  2. 2
    llama.cpp b11155 adds ROCm 10 and CUDA 13 support

    llama.cpp Releases · September 24, 2026 · Same story

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llama.cpp b12173 adds OpenCL repeat ops

This release quietly patches a gap in llama.cpp's OpenCL backend by adding support for the 'repeat' operation across f16, i32, i16, and bf16 types. For users relying on AMD or Intel GPUs via OpenCL rather than Vulkan or ROCm, this means fewer fallbacks to slower CPU execution for models that use these tensor operations. It’s a targeted fix that improves stability and performance on non-NVIDIA hardware without changing the core inference engine. The update also includes standard binaries for CUDA 13 and ROCm 10.0, keeping the stack current with latest driver ecosystems.

llama.cpp Releases·Nov 7, 2026
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llama.cpp b12174 adds ROCm 10 and CUDA 13

This release quietly closes the hardware gap for non-NVIDIA users by adding default support for ROCm 10.0 on both Linux and Windows, allowing AMD GPU owners to run local models without complex configuration. It also brings CUDA 13.5 builds to Ubuntu and Windows, future-proofing the toolchain for newer NVIDIA architectures while maintaining backward compatibility with CUDA 12. Apple Silicon KleidiAI is disabled in this build, a notable regression for Mac users who rely on that specific optimization. The update solidifies llama.cpp's position as the most versatile inference runtime available, covering everything from Snapdragon NPUs to Intel Arc via SYCL.

llama.cpp Releases·Nov 7, 2026
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llama.cpp b12176 fixes C++ math compatibility

This release quietly patches a compilation failure on NetBSD by qualifying C math functions with std::, ensuring llama.cpp builds cleanly across stricter C++ environments. The change also corrects a subtle precision issue in test-quantize-fns.cpp where sqrtf was used with double accumulators, now switched to std::sqrt for better accuracy. While the behavioral difference is negligible for inference, this cleanup prevents future build breaks on non-standard Linux distributions and reinforces the project's commitment to portable, standards-compliant code.

llama.cpp Releases·Nov 7, 2026

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