Improve model card: Add pipeline and library tags, and project page link

README.md

@@ -1,23 +1,25 @@
 ---
-license: apache-2.0
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
 datasets:
 - Team-ACE/ToolACE
 language:
 - en
+license: apache-2.0
 metrics:
 - accuracy
-base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
 tags:
 - code
 new_version: Team-ACE/ToolACE-2-8B
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
-
 # ToolACE-8B
 
 ToolACE-8B is a finetuned model of LLaMA-3.1-8B-Instruct with our dataset [ToolACE](https://huggingface.co/datasets/Team-ACE/ToolACE) tailored for tool usage. 
 ToolACE-8B achieves state-of-the-art performance on the [Berkeley Function-Calling Leaderboard(BFCL)](https://gorilla.cs.berkeley.edu/leaderboard.html#leaderboard), rivaling the latest GPT-4 models. 
 
+**Project Page**: https://huggingface.co/Team-ACE
 
 ToolACE is an automatic agentic pipeline designed to generate **A**ccurate, **C**omplex, and div**E**rse tool-learning data. 
 ToolACE leverages a novel self-evolution synthesis process to curate a comprehensive API pool of 26,507 diverse APIs. 
@@ -58,7 +60,9 @@ You should only return the function call in tools call sections.
 
 If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]
 You SHOULD NOT include any other text in the response.
-Here is a list of functions in JSON format that you can invoke.\n{functions}\n
+Here is a list of functions in JSON format that you can invoke.
+{functions}
+
 """
 
 # User query
@@ -100,7 +104,7 @@ tools = [
             }, 
             "required": ["company", "years"]
         }
-    },
+    },\
     {
         "name": "weather_forecast",
         "description": "Retrieve a weather forecast for a specific location and time frame.",
@@ -115,7 +119,7 @@ tools = [
                     "type": "integer",
                     "description": "Number of days for the forecast."
                 }
-            },
+            },\
             "required": ["location", "days"]
         }
     }
@@ -147,9 +151,9 @@ If you think ToolACE is useful in your work, please cite our paper:
 @inproceedings{
     liu2025toolace,
     title={Tool{ACE}: Winning the Points of {LLM} Function Calling},
-    author={Weiwen Liu and Xu Huang and Xingshan Zeng and xinlong hao and Shuai Yu and Dexun Li and Shuai Wang and Weinan Gan and Zhengying Liu and Yuanqing Yu and Zezhong WANG and Yuxian Wang and Wu Ning and Yutai Hou and Bin Wang and Chuhan Wu and Wang Xinzhi and Yong Liu and Yasheng Wang and Duyu Tang and Dandan Tu and Lifeng Shang and Xin Jiang and Ruiming Tang and Defu Lian and Qun Liu and Enhong Chen},
-    booktitle={The Thirteenth International Conference on Learning Representations},
-    year={2025},
+    author={Weiwen Liu and Xu Huang and Xingshan Zeng and xinlong hao and Shuai Yu and Dexun Li and Shuai Wang and Weinan Gan and Zhengying Liu and Yuanqing Yu and Zezhong WANG and Yuxian Wang and Wu Ning and Yutai Hou and Bin Wang and Chuhan Wu and Wang Xinzhi and Yong Liu and Yasheng Wang and Duyu Tang and Dandan Tu and Lifeng Shang and Xin Jiang and Ruiming Tang and Defu Lian and Qun Liu and Enhong Chen},\
+    booktitle={The Thirteenth International Conference on Learning Representations},\
+    year={2025},\
     url={https://arxiv.org/abs/2409.00920}
 }
 ```