fix wrong image

README.md

@@ -16,7 +16,7 @@ inference: false
 # CogVLM2 
 
 <div align="center">
-<img src=https://github.com/THUDM/CogVLM2/blob/main/resources/logo.svg width="40%"/>
+<img src=https://raw.githubusercontent.com/THUDM/CogVLM2/53d5d5ea1aa8d535edffc0d15e31685bac40f878/resources/logo.svg width="40%"/>
 </div>
 <p align="center">
    👋 Join us on <a href="https://github.com/THUDM/CogVLM2/blob/main/resources/WECHAT.md" target="_blank">WeChat</a>
@@ -52,6 +52,7 @@ Our open source models have achieved good results in many lists compared to the
 
 | Model                          | Open Source | LLM Size | TextVQA  | DocVQA   | ChartQA  | OCRbench | MMMU     | MMVet    | MMBench  |
 |--------------------------------|-------------|----------|----------|----------|----------|----------|----------|----------|----------|
+| CogVLM1.1                      | ✅           | 7B       | 69.7     | -        | 68.3     | 590      | 37.3     | 52.0     | 65.8     |
 | LLaVA-1.5                      | ✅           | 13B      | 61.3     | -        | -        | 337      | 37.0     | 35.4     | 67.7     |
 | Mini-Gemini                    | ✅           | 34B      | 74.1     | -        | -        | -        | 48.0     | 59.3     | 80.6     |
 | LLaVA-NeXT-LLaMA3              | ✅           | 8B       | -        | 78.2     | 69.5     | -        | 41.7     | -        | 72.1     |
@@ -61,7 +62,7 @@ Our open source models have achieved good results in many lists compared to the
 | Claude3-Opus                   | ❌           | -        | -        | 89.3     | 80.8     | 694      | **59.4** | 51.7     | 63.3     |
 | Gemini Pro 1.5                 | ❌           | -        | 73.5     | 86.5     | 81.3     | -        | 58.5     | -        | -        |
 | GPT-4V                         | ❌           | -        | 78.0     | 88.4     | 78.5     | 656      | 56.8     | **67.7** | 75.0     |
-| CogVLM1.1 (Ours)               | ✅           | 7B       | 69.7     | -        | 68.3     | 590      | 37.3     | 52.0     | 65.8     |
+| CogVLM1.1                      | ✅           | 7B       | 69.7     | -        | 68.3     | 590      | 37.3     | 52.0     | 65.8     |
 | CogVLM2-LLaMA3 (Ours)          | ✅           | 8B       | 84.2     | **92.3** | 81.0     | 756      | 44.3     | 60.4     | 80.5     |
 | CogVLM2-LLaMA3-Chinese  (Ours) | ✅           | 8B       | **85.0** | 88.4     | 74.7     | **780**  | 42.8     | 60.5     | 78.9     |