Upload folder using huggingface_hub

README.md

@@ -11,9 +11,14 @@
 **ZwZ-4B** is a fine-grained multimodal perception model built upon [Qwen3-VL-4B](https://huggingface.co/Qwen/Qwen3-VL-4B). It is trained using **Region-to-Image Distillation (R2I)** combined with reinforcement learning, enabling superior fine-grained visual understanding in a single forward pass — no inference-time zooming or tool calling required. ZwZ-4B achieves state-of-the-art performance on fine-grained perception benchmarks among open-source models of comparable size.
 
 <div align=center>
-<img src="gp_avg_comparison.png" width="90%" alt="avg_comparison"/>
+<img src="assets/gp_avg_comparison.png" width="90%" alt="avg_comparison"/>
 </div>
 
+## Key Features
+
+- **⚡ Single-Pass Efficiency**: Achieves fine-grained perception in one forward pass, eliminating inference-time tool-calling overhead
+- **🎯 Superior Accuracy**: State-of-the-art on perception benchmarks among open-source models
+- **📈 Broad Improvements**: Enhances not only perception benchmarks but also out-of-distribution generalization on visual reasoning, GUI agent, and AIGC detection
 
 ## How It Works
 
@@ -96,4 +101,4 @@ ZwZ-4B is trained on [inclusionAI/ZwZ-RL-VQA](https://huggingface.co/datasets/in
 
 ## License
 
-This model follows the license of Apache License 2.0.
+This model follows the license of [Qwen3-VL-4B](https://huggingface.co/Qwen/Qwen3-VL-4B). Please refer to the base model's license for usage terms.