Llama.cpp Adds Support for Poolside's Laguna XS.2 and M.1 Models
In its latest release (build b10087), Llama.cpp has officially added support for the Laguna XS.2 and M.1 models. This integration allows users to run Poolside's specialized coding models locally with high efficiency, expanding the options available for open-source AI developers. Laguna XS.2 is a 33-billion parameter Mixture of Experts (MoE) model designed for software engineering tasks, featuring a hybrid sliding-window-attention mechanism.
## BACKGROUND
Llama.cpp is a popular open-source LLM inference framework designed to run models efficiently on various hardware, including consumer-grade CPUs and GPUs. Poolside's Laguna series focuses on agentic coding and software development, utilizing Mixture of Experts architectures to optimize active parameter counts during inference.