A compact, specialized model built for streaming automatic speech recognition tasks. At 0.6B parameters, it prioritizes low latency and efficiency over breadth, making it suited for real-time transcription pipelines rather than general-purpose work. Its small footprint reflects a deliberate trade-off: narrow focus in exchange for speed.