Update README.md

README.md

@@ -14,4 +14,33 @@ tags:
 - trl
 - text-generation-inference
 - qwen2_vl
+---
+# **QvQ KiE [Key Information Extractor] Adapter for Qwen2-VL-OCR-2B-Instruct**
+
+The **QvQ KiE adapter** is a fine-tuned version of the **Qwen/Qwen2-VL-2B-Instruct** model, specifically tailored for tasks involving **Optical Character Recognition (OCR)**, **image-to-text conversion**, and **math problem-solving** with **LaTeX formatting**. This adapter enhances the model’s performance for multi-modal tasks by integrating vision and language capabilities in a conversational framework.
+
+# **Key Features**
+
+### 1. **Vision-Language Integration**  
+- Seamlessly combines **image understanding** with **natural language processing**, enabling accurate image-to-text conversion.  
+   
+### 2. **Optical Character Recognition (OCR)**  
+- Extracts and processes textual content from images with high precision, making it ideal for document analysis and information extraction.  
+
+### 3. **Math and LaTeX Support**  
+- Efficiently handles complex **math problem-solving**, outputting results in **LaTeX format** for easy integration into scientific and academic workflows.  
+
+### 4. **Conversational Capabilities**  
+- Equipped with multi-turn conversational capabilities, providing context-aware responses during interactions. This makes it suitable for tasks requiring ongoing dialogue and clarification.  
+
+### 5. **Image-Text-to-Text Generation**  
+- Supports input in various forms:
+  - **Images**
+  - **Text**
+  - **Image + Text (multi-modal)**  
+- Outputs include descriptive or problem-solving text, depending on the input type.  
+
+### 6. **Secure Weight Format**  
+- Utilizes **Safetensors** for fast and secure model weight loading, ensuring both performance and safety during deployment.
+
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