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Home/Coding Tools
Coding Tools

llama.cpp b11740 adds OpenCL i32 support

llama.cpp Releases·October 20, 2026·high confidence

Why it matters

  • →Fixes OpenCL backend errors for integer data types, improving stability on AMD/Intel GPUs.
  • →Maintains parity with CUDA/ROCm support for specific tensor operations.
  • →Ensures broader hardware compatibility without requiring code changes from users.

llama.cpp has released version b11740, focusing on OpenCL backend stability. The update adds support for i32 GET_ROWS operations and copy conversions between i32 and f32 data types. This addresses previous limitations where certain integer-based tensor operations failed on OpenCL-compatible hardware. The release includes standard binaries for macOS, Linux, Windows, and Android across CPU, GPU, and NPU targets. No new model architectures or quantization methods are included in this build.

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llama.cpp b11045 adds CUDA 13 and ROCm 10.0 builds — llama.cpp Releases1llama.cpp b11050 adds CUDA 13 and ROCm 10.0 support — llama.cpp Releases2llama.cpp b11740 adds OpenCL i32 supportSep 19You are here

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  1. 1
    llama.cpp b11045 adds CUDA 13 and ROCm 10.0 builds

    llama.cpp Releases · September 19, 2026 · Same story

  2. 2
    llama.cpp b11050 adds CUDA 13 and ROCm 10.0 support

    llama.cpp Releases · September 20, 2026 · Same story

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llama.cpp b11740 adds OpenCL i32 support

2 developments

  1. Oct 20 · llama.cpp Releases
    llama.cpp b11740 adds OpenCL i32 support (This article)
  2. Nov 1 · llama.cpp Releases
    llama.cpp adds OpenCL iq3 quantization support↳ llama.cpp adds OpenCL iq3 quantization support for Adreno GPUs

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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.

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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.

llama.cpp Releases·Nov 1, 2026

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