llama.cpp b9930 fixes sequence position bug across all platforms
Patch b9930 squashes a critical bug in batch sequence handling
The llama.cpp project, a popular C/C++ implementation for running large language models locally, released version b9930 on July 8, 2024. This patch addresses a specific bug in `llama-batch` that allowed decreasing positions within a sequence (PR #25449), which could cause incorrect token ordering during inference. The fix ensures that position arrays maintain monotonicity within each sequence, a requirement for correct transformer model execution.
This release is notable for its breadth of platform support. Builds are available for macOS (Apple Silicon including KleidiAI-optimized, Intel x64), Linux (x64/arm64 with CPU, Vulkan, ROCm 7.2, OpenVINO, SYCL), Windows (x64/arm64 with CPU, CUDA 12.4 and 13.3, Vulkan, OpenCL Adreno, HIP), and Android arm64. The commit is signed with GitHub's verified signature (GPG key B5690EEEBB952194). For users running local LLMs—from LLaMA, Mistral, to custom models—this patch prevents silent corruption in batch generation workflows.
- Fixes a bug where positions could decrease in a sequence within llama-batch (PR #25449)
- Released on July 8, 2024 as tag b9930 with verified GPG signature
- Builds for 20+ platform variants including macOS, Linux, Windows, Android, and iOS XCFramework
Why It Matters
Ensures correct batch inference for self-hosted LLMs across all major platforms, preventing subtle output errors.