Models & Labs
Llama.cpp b9113 Release Adds Q4_1 MoE for Adreno
llama.cpp Releaseshigh confidence
Why it matters
- →Expands AI model execution capabilities on Adreno GPUs.
- →Enhances llama.cpp's versatility across multiple platforms.
- →Streamlines code for improved performance and efficiency.
Llama.cpp has released its b9113 update, which notably adds support for Q4_1 Mixture of Experts (MoE) on Adreno GPUs. This enhancement is part of a broader effort to optimize AI model execution across various platforms, including macOS, Linux, and Windows. The update also involves code refinements and the removal of unnecessary asserts, contributing to a more streamlined performance. This release underscores llama.cpp's commitment to expanding its compatibility and efficiency across different hardware environments.
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What happened next
- 1Llama.cpp b9142 Release Expands OpenCL Support
llama.cpp Releases · May 14, 2026 · Same story
- 2Llama.cpp b9244 Release Adds MoE Support
llama.cpp Releases · May 20, 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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