The llama.cpp project released version b10635, which includes specific updates to CUDA support. The primary change is the unblocking of mixed-precision matrix multiplication (mmq) for Mixture of Experts (MoE) architectures on compute capability 6.0 (sm_60) GPUs.
- CUDA: Unblocked mmq for MoE on sm_60.
- CUDA: Duplicated mmq-config-pascal for dp4a and older architectures.
- CUDA: Reduced occupancy on non-dp4a Pascal GPUs for Q2_K, Q4_K, Q5_K, and Q6_K quantization formats.
This release provides binaries for macOS (Apple Silicon and Intel), Linux (CPU, Vulkan, ROCm, OpenVINO, SYCL), Windows (CPU, CUDA 12/13, Vulkan, OpenVINO, SYCL, ROCm), Android, and openEuler.