Llama.cpp b8028 update fixes Kimi Linear conv state for parallel serving
A critical fix for running models like Kimi concurrently just dropped.
Deep Dive
The llama.cpp repository released commit b8028, which fixes a convolution state update issue for the 'Kimi Linear' model. This specific fix enables stable parallel serving in llama-server, a key feature for handling multiple inference requests simultaneously. The update includes pre-built binaries for major platforms including Windows (CUDA 12/13, Vulkan, SYCL), macOS, Linux, and iOS, ensuring developers can deploy the fix immediately across diverse hardware environments.
Why It Matters
This patch is essential for developers needing to scale Kimi model inference efficiently in production server environments.