watt-tool-8B

Maintained By
watt-ai

watt-tool-8B

PropertyValue
Base ModelLLaMa-3.1-8B-Instruct
Model Size8B parameters
Hugging Facewatt-ai/watt-tool-8B
Training MethodSFT + DMPO

What is watt-tool-8B?

watt-tool-8B is a specialized language model fine-tuned from LLaMa-3.1-8B-Instruct, specifically designed for advanced tool usage and multi-turn dialogue scenarios. The model has been optimized using supervised fine-tuning and Direct Multi-Turn Preference Optimization (DMPO) techniques, achieving state-of-the-art performance on the Berkeley Function-Calling Leaderboard (BFCL).

Implementation Details

The model employs Chain of Thought (CoT) techniques for training on synthesized high-quality multi-turn dialogue data. It's particularly designed for integration with platforms like Lupan and Coze, focusing on AI workflow building capabilities. The implementation leverages the Transformers library for easy deployment and usage.

  • Specialized training dataset focused on tool usage and multi-turn interactions
  • Implementation of DMPO principles from research literature
  • Optimized for complex workflow scenarios and function calling

Core Capabilities

  • Superior tool selection and execution in multi-turn conversations
  • Advanced context maintenance across conversation turns
  • State-of-the-art performance in function calling tasks
  • Seamless integration with AI workflow building platforms

Frequently Asked Questions

Q: What makes this model unique?

The model's distinctive feature is its specialized optimization for tool usage and multi-turn dialogue, particularly in workflow building contexts. Its state-of-the-art performance on the BFCL demonstrates its superior capabilities in function calling and tool manipulation.

Q: What are the recommended use cases?

The model is ideal for AI-powered workflow building tools, complex tool usage scenarios requiring multiple interaction turns, and platforms needing sophisticated function-calling capabilities. It's particularly well-suited for integration with platforms like Lupan and Coze.

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