Uniem is a unified embedding model project targeting Chinese NLP tasks. It provides code for training and fine-tuning embedding models including the M3E series, with compatibility for sentence-transformers and support for various fine-tuning approaches. The project also releases MTEB-zh, a benchmark for evaluating embedding models across retrieval and classification tasks in Chinese.