Models & Labs
llama.cpp b9018 release expands platform support
llama.cpp Releaseshigh confidence
Why it matters
- →Expands platform support, making llama.cpp more versatile for developers.
- →Introduces Vulkan and ROCm 7.2 support, enhancing performance on non-NVIDIA hardware.
- →Strengthens llama.cpp's position as a flexible inference runtime across diverse systems.
The latest b9018 release of llama.cpp has been announced, featuring expanded support across multiple platforms including macOS, Linux, Windows, and Android. Key additions include Vulkan support on both Ubuntu and Windows, as well as ROCm 7.2 for AMD GPUs, enhancing compatibility for non-NVIDIA hardware. This update does not introduce new models but focuses on broadening the software's applicability across various systems. The release underscores llama.cpp's commitment to being a flexible inference tool for developers working with different hardware configurations.
Read originalThe 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.
How we got here
- 1llama.cpp b9025 Release Expands Platform Support
llama.cpp Releases · May 5, 2026 · Same story
What happened next
- 2llama.cpp b9081 Release Expands Platform Support
llama.cpp Releases · May 9, 2026 · Same story
More from llama.cpp Releases
Coding Toolscoding
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.
