Models & Labs
llama.cpp b10937 release expands platform support
llama.cpp Releaseshigh confidence
Why it matters
- →Expands platform compatibility, making it accessible to more users.
- →Enhances performance for AMD and NVIDIA GPU users with ROCm and CUDA support.
- →Reinforces llama.cpp's position as a versatile inference runtime.
The b10937 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 10.0 support, enhancing performance for AMD GPU users. Additionally, it continues to support CUDA 12 and 13, catering to NVIDIA users. This release underscores llama.cpp's focus on providing a versatile and comprehensive inference runtime for a wide range of hardware configurations.
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- 1llama.cpp b10590 Release Expands Platform Support
llama.cpp Releases · August 24, 2026 · Same story
- 2llama.cpp b10900 Release Expands Platform Support
llama.cpp Releases · September 11, 2026 · Same story
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- Sep 13 · llama.cpp Releases
llama.cpp b10937 release expands platform support (This article) - Sep 15 · llama.cpp Releases
Llama.cpp Adds Ubuntu-CUDA Builds in Latest Update - Sep 16 · llama.cpp Releases
llama.cpp b10992 Release Expands Platform Support
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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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