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Home/Coding Tools
Coding Tools

llama.cpp b11804 adds OpenCL ARGMAX and ROCm 10.0

llama.cpp Releases·October 22, 2026·high confidence

Why it matters

  • →OpenCL ARGMAX support prevents fallback to slow CPU execution on AMD/Intel GPUs.
  • →ROCm 10.0 integration ensures compatibility with the latest AMD driver releases.
  • →KleidiAI is disabled in this build, signaling ongoing stability work for Apple Silicon.

llama.cpp has released version b11804, focusing on backend compatibility and specific kernel support. The update adds F32-to-I32 ARGMAX functionality for OpenCL, addressing a limitation that previously hindered certain model operations on AMD and Intel graphics hardware. Additionally, the build system now includes ROCm 10.0 binaries for both Linux and Windows, ensuring support for recent AMD GPU architectures. Notably, KleidiAI optimizations for Apple Silicon are disabled in this specific build, likely due to stability checks. The release maintains broad support across CUDA 12/13, Vulkan, and various CPU architectures.

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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 b11094 adds CUDA 13 and ROCm 10 builds — llama.cpp Releases1llama.cpp b11539 adds ROCm 10 and CUDA 13 support — llama.cpp Releases2llama.cpp b11804 adds OpenCL ARGMAX and ROCm 10.0Sep 22You are here

How we got here

  1. 1
    llama.cpp b11094 adds CUDA 13 and ROCm 10 builds

    llama.cpp Releases · September 22, 2026 · Same story

  2. 2
    llama.cpp b11539 adds ROCm 10 and CUDA 13 support

    llama.cpp Releases · October 10, 2026 · Same story

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Open the full story →

llama.cpp b11558 fixes OpenCL and adds ROCm 10

3 developments

  1. Oct 12 · llama.cpp Releases
    llama.cpp b11558 fixes OpenCL and adds ROCm 10
  2. Oct 20 · llama.cpp Releases
    llama.cpp adds OpenCL cooperative-k DP4A GEMM↳ llama.cpp adds cooperative-k DP4A GEMM kernels to improve performance for q4_0, q4_k, and q6_k models on non-NVIDIA hardware.
  3. Oct 22 · llama.cpp Releases
    llama.cpp b11804 adds OpenCL ARGMAX and ROCm 10.0 (This article)

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llama.cpp b12022 adds ROCm 10 and Snapdragon support

This release quietly cements llama.cpp as the universal inference runtime by finally bringing ROCm 10.0 to Linux and Windows alongside CUDA 13.4, effectively closing the hardware gap for AMD users who were previously left behind. The inclusion of native Snapdragon support on Linux marks a significant step toward running local LLMs on ARM-based mobile chips without emulation overhead. While KleidiAI on Apple Silicon is disabled in this build, the broader expansion to diverse accelerators ensures that developers aren't locked into NVIDIA ecosystems anymore.

llama.cpp Releases·Nov 1, 2026
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llama.cpp b12023 fixes shared prefix bug

This release addresses a specific inference artifact where decision prefixes were incorrectly bleeding into output embeddings. By capping shared prefixes at the first output position, llama.cpp ensures that option tokens remain distinct for parent and child tasks. This is a targeted fix for multi-step reasoning or voting workflows rather than a performance boost. It stabilizes complex generation patterns without changing the underlying model architecture.

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llama.cpp b12024 adds Snapdragon and ROCm 10

This release quietly expands llama.cpp's hardware support to include Qualcomm Snapdragon devices with CPU, Adreno GPU, and Hexagon NPU acceleration. It also updates ROCm to version 10.0 for both Linux and Windows, keeping AMD users in step with the latest driver stack. CUDA builds now default to 13.4 libraries alongside 12.x options, reflecting the industry's gradual shift toward newer NVIDIA toolkits. While no new model architectures are introduced, the binary matrix grows significantly, ensuring local inference remains viable on a wider array of edge and server hardware.

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