Models & Labs
llama.cpp b10444 Release Expands Model Support
llama.cpp Releaseshigh confidence
Why it matters
- →Expands support for MTP assistant models, increasing flexibility for developers.
- →Streamlines the software by removing outdated models, improving efficiency.
- →Maintains broad platform support, ensuring wide applicability.
The b10444 release of llama.cpp brings new capabilities for developers by supporting the loading of MTP assistant models through the --models-dir option. This update also involves code cleanup and the removal of the eagle3 model, simplifying the software's architecture. Despite some disabled features, the release maintains broad platform support, including Windows, Linux, and Android. These changes enhance llama.cpp's utility for deploying AI models across various systems.
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What happened next
- 1llama.cpp b10797 Release Expands Platform Support
llama.cpp Releases · September 5, 2026 · Same story
- 2llama.cpp b10794 Release Expands Platform Support
llama.cpp Releases · September 5, 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.
llama.cpp Releases
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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.
llama.cpp Releases
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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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