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README.md

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+---
+tags:
+- text-to-image
+- lora
+- diffusers
+- template:diffusion-lora
+widget:
+- text: '-'
+  output:
+    url: images/eye_main.jpg
+base_model: meta-llama/Llama-2-7b-chat-hf
+instance_prompt: null
+license: mit
+---
+# Llama-2-7b-chinese-chat
+
+<Gallery />
+
+## Model description 
+
+This model is designed to answer ophthalmology-related questions using domain-specific knowledge. It is based on a large language model architectureLlama-2-7b-chat-hf and fine-tuned on expert-curated question-answer (QA) pairs covering eye diseases such as glaucoma, cataracts, and retinal disorders.
+
+The model supports both direct question answering and retrieval-augmented generation (RAG). In RAG mode, the model first retrieves relevant knowledge snippets from a structured ophthalmic knowledge base and then generates a medically accurate answer grounded in those facts.
+
+Role-specific prompts (e.g., “as a doctor” or “as a patient”) are also used to control the communication style and adapt the response tone accordingly. The model aims to support medical professionals and patients in understanding, explaining, or verifying ophthalmic conditions.
+
+
+## Download model
+
+Weights for this model are available in Safetensors,PyTorch format.
+
+[Download](/AI4Bread/Eyedoctor/tree/main) them in the Files & versions tab.