A compact, efficient embedding specialist that converts text into dense vector representations. At 0.6 billion parameters, it stays lean and fast, trading raw capacity for deployability — easy to run locally or on modest hardware. It does one thing: turn text into embeddings, and it does so under an open MIT license with no strings attached.