llama.cpp version b12336 addresses a memory overflow bug in the mtmd module affecting HunyuanVL models. The fix enforces F32 position embeddings, preventing crashes caused by F64 tensors exceeding buffer limits. The release includes binaries for macOS, Linux, Windows, and Android across CPU, CUDA 12/13, ROCm 10.0, and Vulkan backends. KleidiAI on Apple Silicon is currently disabled in this build.
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llama.cpp Releases · September 24, 2026 · Same story
llama.cpp Releases · October 2, 2026 · Same story
llama.cpp b12023 fixes shared prefix bug
3 developments
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.
Speculative decoding just got a significant speed boost on NVIDIA GPUs. This release introduces a specialized kernel for 'few-row' matrix multiplications, targeting the small batch sizes typical of verification passes in speculative decoding workflows. By optimizing these specific operations for quantized formats like Q8_0 and IQ4 variants, llama.cpp reduces latency where it matters most during token generation. The change is CUDA-only for now but leverages hardware capabilities from Ampere onwards, making local inference faster without requiring new model architectures or complex configuration changes.
This release quietly extends llama.cpp’s hardware coverage with ROCm 10.0 binaries for both Linux and Windows, finally bringing AMD RDNA/CDNA users into the fold without manual compilation. The standout feature is native support for Qwen3.5 models via tensor merging during conversion, a necessary step as this new architecture gains traction in the open-source community. By shipping pre-built CUDA 13 binaries alongside the older 12.x versions, the project ensures forward compatibility with newer NVIDIA GPUs out of the box. There are no new quantization algorithms or performance breakthroughs here; it is purely an infrastructure update to keep pace with the rapidly shifting landscape of model architectures and GPU drivers.
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 ChangelogGitHub 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.
This release quietly shifts the default Fable model to version 5.2 with a generous 1M context window, making long-context coding significantly more viable without manual configuration. More critically, it addresses several security gaps in MCP OAuth handling and sandbox permission checks that could have exposed sensitive tokens or bypassed safety protocols. The update also stabilizes Remote Control and background agent interactions, fixing issues where sessions would hang or lose state during network interruptions. For developers relying on Claude Code for complex, multi-step workflows, this patch reduces the friction of managing long-running tasks and ensures safer execution environments.