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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 generation of diverse tool-learning data. It uses a self-evolution synthesis process and a dual-layer verification system, and achieved state-of-the-art performance on the Berkeley Function-Calling Leaderboard.

Key Features

  • Finetuned LLaMA-3.1-8B-Instruct model.
  • Designed for automatic tool usage workflows.
  • Generates diverse tool-learning datasets.
  • Self-evolution synthesis process for data generation.
  • Dual-layer verification system to improve output accuracy.
  • State-of-the-art on Berkeley Function-Calling Leaderboard.

Ideal Use Cases

  • Generating training data for tool-enabled assistants.
  • Evaluating function-calling and tool-integration performance.
  • Research into instruction-following and tool-use behavior.
  • Creating benchmarks for function-calling accuracy.
  • Rapid prototyping of tool-driven agent behaviors.

Getting Started

  • Visit the model page on Hugging Face at the provided URL.
  • Read the model card and usage instructions carefully.
  • Try the example prompts shown on the model page.
  • Download weights or use Hugging Face inference if available.
  • Integrate the model into your evaluation or data pipeline.

Pricing

Pricing and licensing are not disclosed in the provided tool context. Check the Hugging Face model page for current access and license details.

Key Information

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