Add model card for MINT-libero

This PR adds a comprehensive model card for MINT-libero.
It includes:
- Relevant metadata (license, library name, and pipeline tag).
- Links to the paper, project page, and GitHub repository.
- A brief description of the model's architecture (SDAT tokenization and intent-to-execution reasoning).
- Sample usage for evaluation using the `lerobot` CLI.
- The BibTeX citation.

README.md

@@ -0,0 +1,48 @@
+---
+license: mit
+library_name: lerobot
+pipeline_tag: robotics
+---
+
+# Mimic Intent, Not Just Trajectories (MINT)
+
+MINT (Mimic Intent, Not just Trajectories) is a framework for end-to-end imitation learning in dexterous manipulation. It explicitly disentangles behavior intent from execution details by learning a hierarchical, multi-scale token representation of actions. 
+
+- **Paper:** [Mimic Intent, Not Just Trajectories](https://huggingface.co/papers/2602.08602)
+- **Project Page:** [https://renming-huang.github.io/MINT/](https://renming-huang.github.io/MINT/)
+- **Repository:** [https://github.com/RenMing-Huang/MINT](https://github.com/RenMing-Huang/MINT)
+
+## Overview ✨
+
+MINT addresses the limitations of standard Vision-Language-Action (VLA) models by disentangling behavior intent from execution details via multi-scale frequency-space tokenization. This yields an abstract **Intent token** for planning and **Execution tokens** for precise environmental adaptation. The policy generates trajectories through next-scale autoregression, performing progressive intent-to-execution reasoning.
+
+## Usage 🛠️
+
+This model is integrated with the [LeRobot](https://github.com/huggingface/lerobot) library. You can evaluate the policy on LIBERO tasks using the following command:
+
+```bash
+lerobot-eval \
+    --policy.path=huangrm/MINT-libero \
+    --policy.vqvae_name_or_path=<path/to/tokenizer> \
+    --env.type=libero \
+    --env.task=libero_10,libero_object,libero_spatial,libero_goal \
+    --eval.batch_size=1 \
+    --eval.n_episodes=2 \
+    --seed=42 \
+    --policy.n_action_steps=4
+```
+
+*Note: Replace `<path/to/tokenizer>` with the local path to the [MINT-tokenizer-libero](https://huggingface.co/huangrm/MINT-tokenizer-libero) weights.*
+
+## Citation 📚
+
+If you find this project useful, please cite:
+
+```bibtex
+@article{huang2026mimic,
+  title={Mimic Intent, Not Just Trajectories},
+  author={Huang, Renming and Zeng, Chendong and Tang, Wenjing and Cai, Jintian and Lu, Cewu and Cai, Panpan},
+  journal={arXiv preprint arXiv:2602.08602},
+  year={2026}
+}
+```