Add metadata and improve model card

README.md

@@ -1,14 +1,26 @@
 ---
-license: apache-2.0
 base_model:
 - mistralai/Mistral-7B-Instruct-v0.2
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
 ---
 
+# RESM-Mistral-7B
+
+This repository contains the model weights presented in the paper [Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging](https://huggingface.co/papers/2502.06876).
+
+## Description
+This model is a 3H-aligned (Helpfulness, Honesty, and Harmlessness) Large Language Model developed using a novel model merging framework called **RESM** (**R**eweighting **E**nhanced task **S**ingular **M**erging). 
+
+RESM addresses the challenges of preference noise accumulation and layer sparsity adaptation inherent in 3H-aligned LLM merging through outlier weighting and sparsity-aware rank selection strategies. Compared to standard data mixture or traditional merging methods, RESM achieves a more balanced optimization across the three alignment dimensions.
+
 ## Citation
-```
+```bibtex
 @article{yang2025mix,
   title={Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging},
   author={Yang, Jinluan and Jin, Dingnan and Tang, Anke and Shen, Li and Zhu, Didi and Chen, Zhengyu and Wang, Daixin and Cui, Qing and Zhang, Zhiqiang and Zhou, Jun and others},
   journal={arXiv preprint arXiv:2502.06876},
   year={2025}
-}
+}
+```