Models & Labs
llama.cpp b11607 release with CUDA 13 and ROCm 10
llama.cpp Releaseshigh confidence
Why it matters
- →CUDA 13 support allows users on latest NVIDIA drivers to run local models without custom compilation.
- →ROCm 10.0 inclusion improves accessibility for AMD GPU users seeking native acceleration.
- →Snapdragon Linux binaries extend llama.cpp utility to emerging ARM-based AI hardware.
llama.cpp has released build b11607, updating its precompiled binaries to support CUDA 13.4 and ROCm 10.0 on Linux and Windows platforms. The release also adds Snapdragon Linux support for CPU, Adreno GPU, and Hexagon NPU acceleration. Notably, macOS Apple Silicon KleidiAI builds are currently disabled in this version. The update maintains compatibility with older CUDA 12 libraries while expanding hardware coverage for AMD and ARM-based systems.
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- 1llama.cpp b11045 adds CUDA 13 and ROCm 10.0 builds
llama.cpp Releases · September 19, 2026 · Same story
- 2llama.cpp b11056 adds CUDA 13 and ROCm 10.0
llama.cpp Releases · September 20, 2026 · Same story
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Open the full story →llama.cpp b11607 release with CUDA 13 and ROCm 10
3 developments
- Oct 14 · llama.cpp Releases
llama.cpp b11607 release with CUDA 13 and ROCm 10 (This article) - Oct 24 · llama.cpp Releases
llama.cpp fixes AMD RDNA3/4 HIP builds↳ llama.cpp fixes AMD RDNA3/4 HIP builds by resolving a type mismatch preventing compilation on gfx11 and gfx12 chips - Oct 24 · llama.cpp Releases
llama.cpp b11846 enforces DP4A tile alignment↳ llama.cpp b11846 enforces DP4A tile alignment, disables KleidiAI on Apple Silicon, and adds CUDA 13.4 support
More from llama.cpp Releases
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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
Coding Toolscoding
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.
llama.cpp Releases
Coding Toolscoding
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
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