Rename model

README.md

@@ -12,11 +12,11 @@ tags:
 ---
 
 
-# ToolACE-2-8B
+# ToolACE-2-Llama-3.1-8B
 
-ToolACE-2-8B 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-2-Llama-3.1-8B is a fine-tuned model of LLaMA-3.1-8B-Instruct with our dataset [ToolACE](https://huggingface.co/datasets/Team-ACE/ToolACE) tailored for tool usage. 
 Compared with [ToolACE-8B](https://huggingface.co/Team-ACE/ToolACE-8B), ToolACE-2-8B enhances the tool-usage ability by self-refinment tuning and task decomposition. 
-ToolACE-2-8B achieves a 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. 
+ToolACE-2-Llama-3.1-8B achieves a 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. 
 
 
 ToolACE is an automatic agentic pipeline designed to generate **A**ccurate, **C**omplex, and div**E**rse tool-learning data. 
@@ -42,7 +42,7 @@ Here we provide a code snippet with `apply_chat_template` to show you how to loa
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "Team-ACE/ToolACE-2-8B"
+model_name = "Team-ACE/ToolACE-2-Llama-3.1-8B"
 
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(