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README.md

@@ -81,9 +81,6 @@ We conducted a comprehensive evaluation of **MOSS-VL-Instruct-0408** across four
 *   **🧠 Robust Multimodal Reasoning**: MOSS-VL demonstrates solid logical inference, staying highly competitive with the latest Qwen series on challenging reasoning suites such as `CVBench` and `VisuLogic`.
 *   **📄 Reliable Document Understanding**: While the model is primarily optimized for general perception and video, MOSS-VL still delivers **83.9** on OCR and document analysis, ensuring dependable extraction of text and structured information.
 
-<p align="center">
-    <img src="assets/benchmark_table.png" alt="MOSS-VL Benchmark Table" width="100%"/>
-</p>
 
 <p align="center">
     <img src="assets/MOSS-VL-benchmark.png" alt="MOSS-VL Benchmark Results" width="100%"/>
@@ -92,7 +89,7 @@ We conducted a comprehensive evaluation of **MOSS-VL-Instruct-0408** across four
 ## 🚀 Quickstart
 ### 🛠️ Requirements
 
-Installation commands:
+Installation:
 
 ```bash
 conda create -n moss_vl python=3.12 pip -y