Models & Labs
llama.cpp b9025 Release Expands Platform Support
llama.cpp Releaseshigh confidence
Why it matters
- →Expands llama.cpp's compatibility across diverse platforms, enhancing its utility for developers.
- →Introduces Vulkan and ROCm 7.2 support, improving GPU performance options.
- →Positions llama.cpp as a versatile runtime for AI applications across various hardware configurations.
The b9025 release of llama.cpp has been announced, featuring expanded support across multiple platforms. This update includes Vulkan support for both Ubuntu and Windows, as well as ROCm 7.2 for Ubuntu, enhancing GPU performance capabilities. While no new models are introduced, the release focuses on broadening compatibility, making llama.cpp a versatile option for developers working on various hardware configurations. This positions llama.cpp as a flexible tool for developers seeking to implement AI solutions across different systems.
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What happened next
- 1llama.cpp b9018 release expands platform support
llama.cpp Releases · May 5, 2026 · Same story
- 2llama.cpp b9101 Release Expands Platform Support
llama.cpp Releases · May 11, 2026 · Same story
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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.
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