Arcee-Agent
| Property | Value |
|---|---|
| Parameter Count | 7.62B |
| Model Type | Text Generation |
| Architecture | Qwen2-based |
| License | Apache-2.0 |
| Languages | English, German, Arabic |
| Research Paper | Spectrum Paper |
What is Arcee-Agent?
Arcee-Agent is a specialized language model designed specifically for function calling and tool use. Built on the Qwen2-7B architecture, it delivers performance comparable to much larger models while maintaining efficiency. The model was trained using the Spectrum methodology and offers exceptional capabilities in API integration and automation tasks.
Implementation Details
The model implements advanced function calling capabilities through multiple supported formats including Glaive FC v2, Salesforce, and Agent-FLAN. It performs optimally with VLLM OpenAI FC format and can be deployed either as a tool router or standalone chat agent.
- Built on Qwen2-7B architecture
- Supports multiple tool use formats
- Optimized for BF16 tensor operations
- Trained using Spectrum methodology
Core Capabilities
- Advanced API Integration for real-time data processing
- Complex database operations through natural language commands
- Code generation and execution across multiple languages
- Multi-step task execution and automation
- Efficient tool routing and middleware functionality
Frequently Asked Questions
Q: What makes this model unique?
Arcee-Agent stands out for its specialized function calling capabilities while maintaining a relatively small parameter count of 7.62B. It can compete with much larger models in tool use tasks while offering better efficiency and speed.
Q: What are the recommended use cases?
The model excels in business automation tasks, including customer support automation, sales and marketing automation, operational efficiency improvements, and financial services automation. It's particularly well-suited for scenarios requiring complex API integrations and multi-step task execution.
