Update README.md

README.md

@@ -37,25 +37,9 @@ The examples below showcase how Bespoke-MiniChart-7B can perform both visual per
 Bespoke-MiniChart-7B achieves state-of-the-art performance on chart understanding among models with similar sizes. In addition to that, the model can even surpass closed-models such as Gemini-1.5-Pro and Claude-3.5.
 
 
-| Model / Category                       | ChartQAPro (1637) | ChartQA (2500) | EvoChart (1250) | CharXiv (4000) | ChartX (1152) | ChartBench (2100) | MMC (808) | Average |
-|----------------------------------------|------------------:|---------------:|----------------:|---------------:|--------------:|------------------:|----------:|--------:|
-| **Open-Models (11 B and less)**   |                   |                |                 |                |               |                   |           |         |
-| InternVL-2.5-8B                        |                  –| **78.2**       | 53.0            | 55.7           | 49.5          | 44.7              | **85.5**  | –       |
-| Qwen2-VL-7B                            |                  –| **82.1**       | 54.5            | 53.5           | 50.8          | 50.8              | **83.9**  | –       |
-| Qwen2.5-VL-7B                          | **53.5**          | **86.0**       | 67.9            | 60.9           | 67.0          | 61.4              | **86.0**  | **69.0**|
-| **Ours**                               |                   |                |                 |                |               |                   |           |         |
-| Bespoke-MiniChart-7B                   | **56.7**          | **89.5**       | **71.8**        | **66.4**       | **68.9**      | **66.1**          | **88.4**  | **72.5**|
-| **Open-Models (32 B and more)**   |                   |                |                 |                |               |                   |           |         |
-| QVQ-72B-Preview                        |                  –| **84.2**       | 65.0            | 59.0           | 60.9          | 53.8              | **83.4**  | –       |
-| Qwen2.5-VL-32B                         | **58.4**          | **89.5**       | 74.3            | 66.9           | 64.5          | 59.8              | **89.6**  | **71.9**|
-| Qwen2.5-VL-72B                         | **59.0**          | **90.0**       | **76.8**        | 67.1           | **67.2**      | 61.5              | **91.2**  | **73.3**|
-| **Closed-Models**                      |                   |                |                 |                |               |                   |           |         |
-| GPT-4o                                 | **53.6**          | 85.7           | 71.7            | 67.8           | 54.3          | 46.1              | **89.1**  | 66.9    |
-| Gemini-1.5-flash                       | **53.8**          | 85.6           | 67.5            | 67.7           | 63.5          | 58.1              | 82.1      | 68.3    |
-| Gemini-1.5-pro                         | **59.2**          | **89.0**       | 72.0            | **69.9**       | 65.4          | 62.4              | 87.9      | **72.3**|
-| Claude-3.5                             | **56.6**          | 85.7           | **78.1**        | **69.7**       | 64.7          | 60.9              | **89.9**  | **72.2**|
-| Claude-3.7                             | **63.0**          | 86.1           | **80.1**        | **69.7**       | **69.2**      | **65.0**          | 88.4      | **74.5**|
-
+<p align="left">
+    <img src="https://cdn-uploads.huggingface.co/production/uploads/6444e4417a7b94ddc2d14e1d/ZDLuOlPeOox-_EYD1h7pF.png" width="700">
+</p>
 
 # Model Use: