A compact, efficient text model that punches above its weight for its size class. The FP8 dynamic quantization keeps memory footprint small while preserving much of the original model's capability, making it practical for resource-constrained deployments. It handles instruction-following tasks with a long context window of 131K tokens, though as a 3B parameter model it naturally has less reasoning depth than larger counterparts.