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ToolACE-8B - AI Language Models Tool

Overview

ToolACE-8B is a finetuned LLaMA-3.1-8B-Instruct model tailored for automatic tool usage and generation of diverse tool-learning data. It focuses on producing high-quality, tool-oriented examples for model training and evaluation. The model uses a self-evolution synthesis process and a dual-layer verification system to improve data accuracy. It reports state-of-the-art performance on the Berkeley Function-Calling Leaderboard.

Key Features

  • Finetuned LLaMA-3.1-8B-Instruct
  • Optimized for automatic tool usage
  • Generates diverse tool-learning datasets
  • Self-evolution synthesis process
  • Dual-layer verification for accurate outputs
  • State-of-the-art on Berkeley Function-Calling Leaderboard

Ideal Use Cases

  • Generate high-quality tool-learning datasets for model training
  • Evaluate and benchmark function-calling capabilities
  • Improve tool-enabled agent behaviors and workflows
  • Synthesize diverse tool usage scenarios for testing
  • Research autonomous model self-improvement methods

Getting Started

  • Open the model page: https://huggingface.co/Team-ACE/ToolACE-8B
  • Read the model card and usage instructions
  • Download or access model files according to licensing
  • Load the model into a LLaMA-3.1-compatible runtime
  • Run function-calling benchmarks and inspect verification outputs

Pricing

Not disclosed. Check the Hugging Face model page or model card for licensing, access, or hosting details.

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
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