OneRec 1.7B is a compact, open-weight model from OpenOneRec built around recommendation tasks. At 1.7 billion parameters, it operates efficiently within a generous 40K token context window, making it capable of processing substantial amounts of contextual information. Its focused scope means it trades broad generalist capability for specialized behavior in its target domain.