Create README.md

README.md

@@ -0,0 +1,28 @@
+# IVT-LR
+
+## Overview
+
+Interleaved Vision-Text Latent Reasoning (IVT-LR) is the first VLM framework that unifies textual and visual representations in the latent space and implements multimodal latent reasoning. Specifically, IVT-LR represents each reasoning step by combining two implicit parts: **latent text** and **latent vision**. We further introduce a progressive multi-stage training strategy to enable MLLMs to perform the above multimodal latent reasoning steps.
+
+---
+
+## Usage
+
+This repository provides pretrained models for **Qwen2-VL on M3CoT** and **Chameleon on ScienceQA**.  
+
+To see detailed usage, including inference code and scripts for training, please refer to the [GitHub repository](https://github.com/FYYDCC/IVT-LR).
+
+---
+
+### Download Models
+
+You can download the models directly from Hugging Face using `huggingface_hub`:
+
+```python
+from huggingface_hub import hf_hub_download
+
+# Example: download Qwen2-VL model
+qwen_model_path = hf_hub_download("FYYDCC/IVTLR", "qwen_vl/model.pth")
+
+# Example: download Chameleon model
+chameleon_model_path = hf_hub_download("FYYDCC/IVTLR", "chameleon/model.pth")