ToolACE-2-Llama-3.1-8B

Maintained By
Team-ACE

ToolACE-2-Llama-3.1-8B

PropertyValue
Base ModelLLaMA-3.1-8B-Instruct
Parameters8 Billion
Research Paperarxiv:2409.00920
Model HubHugging Face

What is ToolACE-2-Llama-3.1-8B?

ToolACE-2-Llama-3.1-8B is a state-of-the-art language model specifically fine-tuned for advanced tool and function calling capabilities. Built upon the LLaMA-3.1-8B-Instruct architecture, this model represents a significant advancement in AI's ability to interact with and utilize external tools and APIs. The model has achieved remarkable performance on the Berkeley Function-Calling Leaderboard (BFCL), competing with much larger models including GPT-4.

Implementation Details

The model leverages the innovative ToolACE pipeline, which employs a sophisticated approach to generating accurate, complex, and diverse tool-learning data. The implementation includes:

  • A self-evolution synthesis process managing a vast pool of 26,507 diverse APIs
  • Multi-agent interaction for dialog generation with formalized thinking processes
  • Dual-layer verification system combining rule-based and model-based checks
  • Enhanced tool-usage capabilities through self-refinement tuning and task decomposition

Core Capabilities

  • Advanced function calling and tool usage
  • State-of-the-art performance on BFCL-v3
  • Accurate API interaction and parameter handling
  • Complex task decomposition
  • Multi-step reasoning for tool selection

Frequently Asked Questions

Q: What makes this model unique?

ToolACE-2-Llama-3.1-8B stands out for its exceptional tool-usage capabilities, achieved through a novel self-evolution synthesis process and sophisticated training pipeline. Despite its relatively modest 8B parameters, it achieves performance comparable to much larger models like GPT-4 in function-calling tasks.

Q: What are the recommended use cases?

The model excels in scenarios requiring interaction with external tools and APIs, making it ideal for:

  • Automated tool and API integration
  • Complex function calling sequences
  • Task decomposition and planning
  • API parameter handling and validation
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