Update README.md

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+
+# Model Card for LoopTool-32B
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+The LoopTool-32B model is derived from iterative fine-tuning of Qwen3-32B, with a particular emphasis on enhancing the model’s capabilities in tool invocation.
+- **Developed by:** SJTU, Xiaohongshu
+- **Model type:** Causal Language Models
+- **Finetuned from model Qwen3-32B:** https://huggingface.co/Qwen/Qwen3-32B
+
+### Model Sources
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** https://github.com/Rednote-ExperienceAI-Lab/LoopTool
+- **Paper:** https://arxiv.org/abs/2511.09148
+- **Dataset(Partial)** https://huggingface.co/datasets/zhuiguang-ning/LoopTool-2w
+
+### Model Performance
+
+**The Main Result in BFCL-v3**
+
+|              | Overall | Non-Live | Live  | Multi-Turn |
+| :----------: | ------- | -------- | :---: | ---------- |
+|   Qwen3-8B   | 66.34   | 88.81    | 78.54 | 33.00      |
+| LoopTool-8B  | 74.93   | 89.52    | 84.72 | 50.88      |
+|  Qwen3-32B   | 69.25   | 88.90    | 77.83 | 43.12      |
+| LoopTool-32B | 79.32   | 91.83    | 88.58 | 57.75      |
+
+**The Main Result in ACEBench (English)**
+
+|              | Overall | Normal | Special | Agent |
+| :----------: | ------- | ------ | :-----: | ----- |
+|   Qwen3-8B   | 67.1    | 70.9   |  78.0   | 34.2  |
+| LoopTool-8B  | 73.4    | 78.0   |  80.7   | 43.3  |
+|  Qwen3-32B   | 72.2    | 77.3   |  76.0   | 46.7  |
+| Kimi-K2-0711 | 77.4    | 78.9   |  81.3   | 65.0  |
+| LoopTool-32B (OpenSource-1st) | 77.5    | 80.5   |  78.7   | 64.1  |
+
+
+
+
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+If you find our work helpful, feel free to give us a cite.
+
+
+```
+@misc{zhang2025looptool,
+      title={LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls}, 
+      author={Kangning Zhang and Wenxiang Jiao and Kounianhua Du and Yuan Lu and Weiwen Liu and Weinan Zhang and Lei Zhang and Yong Yu},
+      year={2025},
+      eprint={2511.09148},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2511.09148}, 
+}
+```