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llama.cpp releases b11788 with OS support updates; new graph generalization research published

By PulseAugur Editorial · [2 sources] ·

The llama.cpp project has released version b11788, which includes fixes for SYCL and Query head dimension mismatches, particularly on Apple Silicon Macs. This release also details build configurations for various operating systems including macOS, iOS, Linux, Android, and Windows, with specific notes on disabled or enabled features like KleidiAI and ACL Graph on openEuler. Separately, a new research paper on arXiv introduces SCARCE, a label-free framework for improving graph neural network generalization in out-of-distribution scenarios by implicitly reweighting features. AI

IMPACT Updates to llama.cpp improve cross-platform compatibility, while new research on graph generalization could enhance the robustness of graph neural networks in real-world applications.

RANK_REASON The cluster contains a software release and a new academic paper.

Read on llama.cpp — Releases →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

llama.cpp releases b11788 with OS support updates; new graph generalization research published

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COVERAGE [2]

  1. llama.cpp — Releases TIER_1 (SO) · github-actions[bot] ·

    b11788

    <details open=""> <p>sycl : fix fa crash for Query head dimension mismatch (neq0 != HSK / D=2048/4096) (<a class="issue-link js-issue-link" href="https://github.com/ggml-org/llama.cpp/pull/30286">#30286</a>)</p> </details> <p><strong>Website:</strong></p> <ul> <li><a href="https:…

  2. arXiv cs.LG TIER_1 English(EN) · Tianjun Yao, Chen Xi, Xinyang Li, Lixian Zhong ·

    Implicit Feature Reweighting for Label-Free Graph Generalization

    arXiv:2610.29571v1 Announce Type: new Abstract: Graph-level out-of-distribution (OOD) generalization is critical for deploying graph neural networks in real-world applications where distribution shifts are inevitable. Existing approaches typically require class labels during repr…

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