Update README.md

README.md

@@ -11,13 +11,29 @@ base_model:
 pipeline_tag: visual-question-answering
 ---
 
+---
+pipeline_tag: image-text-to-text
+datasets:
+- openbmb/RLAIF-V-Dataset
+library_name: transformers
+language:
+- multilingual
+tags:
+- minicpm-v
+- vision
+- ocr
+- multi-image
+- video
+- custom_code
+---
+
 <h1>Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage</h1>
 
 [GitHub](https://github.com/mat-agent/MAT-Agent.git) | [Project](https://mat-agent.github.io/)</a> 
 
 ## MAT-MiniCPM-V 2.6
 
-This model is a fine-tuned version of the [MiniCPM V2.6 7B](https://huggingface.co/openbmb/MiniCPM-V-2_6) model on the MM-traj dataset. On GTA and GAIA benchmarks, it achieved improvements of ​**18.59%**​ and ​**7.78%**​ respectively compared to the non-fine-tuned baseline.
+This model is a fine-tuned version of the [MiniCPM V2.6 7B](https://huggingface.co/openbmb/MiniCPM-V-2_6) model on the MM-traj dataset. On GTA and GAIA benchmarks, it achieved improvements of ​18.59% and ​7.78%​ respectively compared to the non-fine-tuned baseline.
 
 ## Usage
 Our model inherits the inference architecture from [MiniCPM-V-2.6](https://huggingface.co/openbmb/MiniCPM-V-2_6). The following implementation is adapted from their original inference code with full compatibility.
@@ -157,13 +173,13 @@ print(answer)
 ## License
 
 #### Model License
-- The code in this repository is licensed under the ​**[Apache-2.0 License](https://github.com/OpenBMB/MiniCPM/blob/main/LICENSE)**.
-- Usage of our fine-tuned MiniCPM-based model weights must strictly adhere to the ​**[MiniCPM Model License](https://github.com/OpenBMB/MiniCPM/blob/main/MiniCPM%20Model%20License.md)**.
+- The code in this repository is licensed under the ​[Apache-2.0 License](https://github.com/OpenBMB/MiniCPM/blob/main/LICENSE).
+- Usage of our fine-tuned MiniCPM-based model weights must strictly adhere to the ​[MiniCPM Model License](https://github.com/OpenBMB/MiniCPM/blob/main/MiniCPM%20Model%20License.md).
 
 #### Usage Terms
 - ​**Academic Research**: The model weights are freely available for academic use without restrictions.
 - ​**Commercial Use**: 
-  - After completing the official ​**[registration questionnaire](https://modelbest.feishu.cn/share/base/form/shrcnpV5ZT9EJ6xYjh3Kx0J6v8g)**​ and obtaining authorization, the MiniCPM-V 2.6 based weights (including our fine-tuned version) are available for commercial use free of charge.
+  - After completing the official ​[registration questionnaire](https://modelbest.feishu.cn/share/base/form/shrcnpV5ZT9EJ6xYjh3Kx0J6v8g)​ and obtaining authorization, the MiniCPM-V 2.6 based weights (including our fine-tuned version) are available for commercial use free of charge.
   - Commercial users must maintain compliance with all terms outlined in the MiniCPM Model License.
 
 #### Inheritance Clause