OculiChatDA is an ophthalmological chatbot large model designed to assist patients with preliminary diagnoses through conversational interaction and offer reasonable medical advice. It possesses image-reading capabilities, allowing it to analyze fundus photographs to identify potential cases of glaucoma or diabetic retinopathy. This model supports multi-turn dialogues across various scenarios, including consultations, inquiries, and casual conversations. It strives to address the issue of uneven medical resource distribution by providing timely and convenient medical services to a wider range of patients.