llama.cpp has released version b11052, expanding its binary distribution to support CUDA 13 and ROCm 10.0 across Linux and Windows platforms. The update includes builds for NVIDIA's latest driver stacks (CUDA 12.8/13.3 and 12.4/13.4) and AMD's ROCm 10.0, alongside existing support for Vulkan, OpenVINO, and SYCL. Notably, KleidiAI acceleration on Apple Silicon is disabled in this release, while openEuler builds for Huawei Ascend chips remain available. This update ensures compatibility with the latest GPU drivers without requiring users to compile from source.
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llama.cpp Releases · September 19, 2026 · Same story
llama.cpp Releases · September 20, 2026 · Same story
This release quietly patches a critical memory overflow in the mtmd module that caused crashes when loading HunyuanVL models. The issue stemmed from F64 position embeddings overflowing an F32 buffer, a subtle bug that broke multimodal inference for users relying on this specific architecture. By enforcing strict F32 requirements, llama.cpp stabilizes support for Tencent's vision-language model without adding new features or changing the core API. It’s a necessary maintenance update that keeps local multimodal workflows from breaking unexpectedly.
This release quietly closes the hardware gap for local inference by adding default support for CUDA 13 and ROCm 10.0 across Linux and Windows. Users with newer NVIDIA GPUs or AMD accelerators no longer need to compile from source to get performance, while Apple Silicon builds now ship KleidiAI disabled by default, shifting the focus back to standard ARM optimizations. The inclusion of Snapdragon support for Linux and Android marks a significant step toward on-device AI beyond the x86/ARM desktop ecosystem. It is less about new features and more about ensuring llama.cpp remains the universal runtime for every available accelerator.
This release quietly introduces Code Mode, an opt-in feature where Claude writes JavaScript to call its own tools, marking a shift toward more autonomous agent-like behavior within the CLI. The update also hardens the plugin ecosystem by enforcing version ranges and adding strict TypeScript type checking for hooks, which should significantly reduce instability from third-party extensions. Beyond these features, the changelog is dominated by critical fixes for authentication drift in background sessions and memory leaks when handling large files, stabilizing the tool for heavy enterprise use.
© GitHub Changelogllama.cpp b11052 adds CUDA 13 and ROCm 10 builds
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GitHub finally brings enterprise-grade planning structures to individual developers. Personal repositories now support customizable issue types and fields, allowing solo maintainers to standardize workflows with up to 25 distinct categories. This closes a long-standing gap where only organizations could enforce structured data schemas for bug tracking and feature management. The move signals that GitHub is treating personal open-source projects with the same operational seriousness as corporate codebases.