Ruri v3 30m is the compact member of the Ruri family, built for Japanese text embedding with a very small footprint. At 30 million parameters, it trades some representational depth for speed and efficiency, making it practical in memory-constrained environments. It reflects cl-nagoya's focus on Japanese NLP, handling the nuances of Japanese text that general multilingual models often smooth over.