The llama.cpp project has released version b10206, which introduces specific changes to how key-value caches are handled in attention mechanisms. The update ensures that the K and V cache types remain consistent for DeepSeek V4 models.
- Enforces identical K and V cache types for DeepSeek V4 architectures.
- Enables Flash Attention (FA) when the V cache is quantized.
- Applies the same K and V cache type enforcement to other MLA models.
This release provides binaries for macOS, Linux, Windows, Android, and openEuler across various hardware backends including CPU, CUDA, ROCm, Vulkan, OpenVINO, SYCL, and OpenCL.