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ToolACE-8B - AI Language Models Tool

Overview

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

Key Features

  • Finetuned LLaMA-3.1-8B-Instruct backbone
  • Optimized for automatic tool usage
  • Generates diverse tool-learning datasets
  • Self-evolution synthesis process
  • Dual-layer verification system for accuracy
  • Top-ranked on Berkeley Function-Calling Leaderboard

Ideal Use Cases

  • Generating tool-learning training data
  • Benchmarking function-calling systems
  • Prototyping tool-enabled agent behavior
  • Research on tool-use and function-calling
  • Automated tool-integration testing

Getting Started

  • Open the model page at huggingface.co/Team-ACE/ToolACE-8B
  • Review the model card, README, and usage examples
  • Follow licensing and usage instructions on the model page
  • Run evaluation on representative tool-calling tasks
  • Integrate via local inference or hosted API per instructions

Pricing

Pricing and hosting options are not disclosed in the provided tool context; check the Hugging Face model page for access details.

Limitations

  • 8B-parameter footprint requires substantial memory and compute for local deployment
  • Finetuned focus on tool-learning may limit performance on unrelated tasks
  • Licensing, hosting, and commercial terms not specified in provided tool context

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
Visit Official Website

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