Team-ACE/ToolACE-2.5-Llama-3.1-8B
ToolACE-2.5-Llama-3.1-8B is an 8 billion parameter Llama-3.1-8B-Instruct fine-tuned model developed by Team-ACE, specifically optimized for advanced tool usage and function calling. It leverages the ToolACE dataset, which features 26,507 diverse APIs and multi-agent generated dialogues, to enhance multi-turn tool-usage capabilities. This model is designed to accurately interpret user queries and generate precise function calls, making it suitable for complex agentic workflows.
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ToolACE-2.5-Llama-3.1-8B Overview
ToolACE-2.5-Llama-3.1-8B is an 8 billion parameter model from Team-ACE, fine-tuned from Llama-3.1-8B-Instruct, with a 32768 token context length. Its primary focus is on advanced tool usage and function calling, building upon its predecessor, ToolACE-2. This version significantly enhances multi-turn tool-usage abilities.
Key Capabilities
- Enhanced Function Calling: Optimized to accurately interpret user queries and generate precise function calls, even for complex scenarios.
- Comprehensive Tool Learning: Trained on the proprietary ToolACE dataset, which features an extensive API pool of 26,507 diverse APIs and dialogues generated through a self-evolution synthesis process.
- Multi-Turn Interaction: Specifically improved for handling multi-turn interactions requiring sequential or conditional tool invocations.
- Robust Data Generation: The ToolACE pipeline ensures data accuracy through a dual-layer verification system combining rule-based and model-based checks.
Good For
- Agentic Workflows: Ideal for applications requiring intelligent agents to interact with external tools and APIs.
- Complex Function Calling: Excels in scenarios where multiple functions need to be called, or parameters need to be extracted accurately from natural language.
- Automated Task Execution: Suitable for automating tasks that involve interacting with various software services through their APIs.