Tessera-27B-B-CJK is a Qwen3.8‑27B coding model fine‑tuned to operate in compressed CJK tokens, reducing token usage while maintaining performance. Released under Apache‑2.0 with open weights, it is the inaugural model in Zellige AI’s Tessera lineup focused on token‑saving techniques. The model and its accompanying paper are available on Hugging Face and the Zellige AI research site.