Update README.md

README.md

@@ -1,11 +1,44 @@
 ---
-license: cc-by-nc-4.0
-library_name: transformers
+base_model:
+- Qwen/Qwen2.5-1.5B-Instruct
+- google/siglip-so400m-patch14-384
+datasets:
+- weizhiwang/Open-Qwen2VL-Data
+- MAmmoTH-VL/MAmmoTH-VL-Instruct-12M
+language:
+- en
+license: cc
 pipeline_tag: image-text-to-text
+library_name: transformers
 ---
 
+
 This repository contains the model described in [Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources](https://huggingface.co/papers/2504.00595).
 
 Project page: https://victorwz.github.io/Open-Qwen2VL
 
-For code and usage instructions, please refer to the official codebase: https://github.com/Victorwz/Open-Qwen2VL
+For code and usage instructions, please refer to the official codebase: https://github.com/Victorwz/Open-Qwen2VL
+
+
+# Model Card for Open-Qwen2VL
+
+Open-Qwen2VL-base is a pre-trained base multimodal model that takes images and text as input and produces text as output. This model is described in the paper [Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources](https://huggingface.co/papers/2504.00595).  The code is available at [https://github.com/Victorwz/Open-Qwen2VL](https://github.com/Victorwz/Open-Qwen2VL).
+
+## Updates 
+- [4/1/2025] The codebase, model, data, and paper are released.
+
+<!-- ## Model Details -->
+
+## How to Use
+
+The base model is released for further fine-tuning on public SFT data or customized SFT data. It is not appropriate for normal task completions.
+
+## Citation
+```bibtex
+@article{Open-Qwen2VL,
+    title={Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources},
+    author={Wang, Weizhi and Tian, Yu and Yang, Linjie and Wang, Heng and Yan, Xifeng},
+    journal={arXiv preprint arXiv:2504.00595},
+    year={2025}
+  }
+...