ToolACE 8B EU AI Act Compliance Profile

ToolACE-8B

ToolACE-8B is a finetuned model of LLaMA-3.1-8B-Instruct with our dataset ToolACE tailored for tool usage. ToolACE-8B achieves state-of-the-art performance on the Berkeley Function-Calling Leaderboard(BFCL), rivaling the latest GPT-4 models.

ToolACE is an automatic agentic pipeline designed to generate Accurate, Complex, and divErse tool-learning data. ToolACE leverages a novel self-evolution synthesis process to curate a comprehensive API pool of 26,507 diverse APIs. Dialogs are further generated through the interplay among multiple agents, guided by a formalized thinking process. To ensure data accuracy, we implement a dual-layer verification system combining rule-based and model-based checks. More details can be found in our paper on ICLR2025: ToolACE: Winning the Points of LLM Function Calling

Here are the winning scores of ToolACE in BFCL-v3.

Usage

Here we provide a code snippet with apply_chat_template to show you how to load the tokenizer and model and how to generate function calling with given functions.

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Team-ACE/ToolACE-8B"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype='auto',
    device_map='auto'
)


# You can modify the prompt for your task
system_prompt = """You are an expert in composing functions. You are given a question and a set of possible functions. Based on the question, you

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Base Model