ggerganov/llama.cpp released b11572 with vLLM d3 model support
llama.cpp release b11572 introduces support for vLLM d3 models and pplx-decider, alongside standard cross-platform binaries. This update also includes refined naming rules and stricter validation checks. This release expands the compatibility of llama.cpp with architectures from other inference ecosystems like vLLM. Such interoperability makes it easier for developers to run a wider variety of models locally across diverse hardware configurations. The update features specific commits addressing vLLM d3 and d2 model compatibility, the integration of pplx-decider, and strict validation rules. Pre-built binaries are provided for macOS, Linux, Windows, and Android across various accelerators including CUDA, Vulkan, and Snapdragon NPUs.
## BACKGROUND
llama.cpp is a widely-used open-source software library written in C/C++ that performs efficient local inference on large language models like Meta's Llama. It is co-developed alongside the GGML tensor library and serves as the core foundation for many local AI applications.