Index-1.9B-Chat is a 1.9B parameter dialogue generation model. It utilizes SFT and DPO alignment techniques, combined with RAG to achieve few-shot role-playing customization, boasting high dialogue趣味性和 customizability. The model is pre-trained on a 2.8T corpus of predominantly English and Chinese data and demonstrates leading performance on multiple benchmark datasets.