Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+---
+![header](./assets/header.png) 
+
+<p align="center">
+   📃 <a href="" target="_blank">Paper</a> • 🌐 <a href="" target="_blank">Demo</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/LongLLaVA" target="_blank">LongLLaVA</a> 
+</p>
+
+![efficiency](./assets/singleGPU.png) 
+
+## 🌈 Update
+
+* **[2024.09.05]** LongLLaVA repo is published！🎉 The Code will
+
+## Architecture
+
+<details>
+  <summary>Click to view the architecture image</summary>
+
+  ![Architecture Image](./assets/arch.png)
+
+</details>
+
+
+## Results
+
+<details>
+  <summary>Click to view the Results</summary>
+
+  - Main Results
+      ![Main Results](./assets/result1.png) 
+  - Diagnostic Results
+      ![Diagnostic Results](./assets/diaresult.png)
+  - Video-NIAH
+      ![Video-NIAH](./assets/NIAH.png)
+
+</details>
+
+
+
+## Results reproduction
+
+### Data DownLoad and Construction
+
+<details>
+  <summary>Dataset Taxonomy</summary>
+
+  ![Dataset](./assets/dataset.png) 
+
+</details>
+
+<details>
+  <summary>Dataset DownLoading and Construction</summary>
+
+   > Coming Soon~
+
+</details>
+
+
+### Training
+
+> Coming Soon~
+
+- Stage I: Single-image Alignment.
+  ```bash
+  bash Pretrain.sh
+  ```
+- Stage II: Single-image Instruction-tuning.
+  ```bash
+  bash SingleImageSFT.sh
+  ```
+- Stage III: Multi-image Instruction-tuning. 
+  ```bash
+  bash MultiImageSFT.sh
+  ```
+
+### Evaluation
+
+> Coming Soon~
+
+```bash
+bash Eval.sh
+```
+
+## TO DO
+
+- [ ] Release Model Evalation Code
+- [ ] Release Data Construction Code
+- [ ] Release Model Training Code
+
+## Acknowledgement
+
+- [LLaVA](https://github.com/haotian-liu/LLaVA): Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
+
+## Citation
+
+```
+@misc{wang2024longllavascalingmultimodalllms,
+      title={LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture}, 
+      author={Xidong Wang and Dingjie Song and Shunian Chen and Chen Zhang and Benyou Wang},
+      year={2024},
+      eprint={2409.02889},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2409.02889}, 
+}
+```