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ToolACE-8B - AI Language Models Tool

Overview

ToolACE-8B is a finetuned LLaMA-3.1-8B-Instruct model focused on automatic tool usage and generating diverse tool-learning data. It employs a self-evolution synthesis process and a dual-layer verification system, and reports state-of-the-art performance on the Berkeley Function-Calling Leaderboard.

Key Features

  • Finetuned LLaMA-3.1-8B-Instruct foundation model
  • Optimized for automatic tool usage and function-calling tasks
  • Generates diverse tool-learning training data
  • Self-evolution synthesis process to improve data quality
  • Dual-layer verification system for more accurate outputs
  • State-of-the-art results on Berkeley Function-Calling Leaderboard

Ideal Use Cases

  • Producing tool-learning datasets for tool-enabled agents
  • Benchmarking and improving function-calling performance
  • Prototyping automated tool-invocation pipelines
  • Researching model verification and data synthesis methods
  • Serving as an instruction-tuning baseline for 8B models

Getting Started

  • Open the model page on Hugging Face
  • Review the model card and usage notes
  • Check license and deployment requirements
  • Download or pull the model using Hugging Face instructions
  • Run sample prompts to test function-calling behavior
  • Evaluate outputs against your tool-calling benchmarks

Pricing

Not disclosed in the provided tool data. Check the model page for availability and licensing.

Key Information

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