A compact, efficient embedding specialist that punches above its weight for its size. Built on the MiniLM L6 architecture and fine-tuned using Guided In-sample Selection of Training (GIST) to produce tighter, more meaningful vector representations. Its 512-token context window keeps it lean and fast, making it practical for high-throughput embedding pipelines.