Arcee-Agent

Arcee Agent is a cutting-edge 7B parameter language model specifically designed for function calling and tool use. Initialized from Qwen2-7B, it rivals the performance of much larger models while maintaining efficiency and speed. This model is particularly suited for developers, researchers, and businesses looking to implement sophisticated AI-driven solutions without the computational overhead of larger language models. Compute for training Arcee-Agent was provided by CrusoeAI. Arcee-Agent was trained using Spectrum.

GGUFs are available from CrusoeAI.

Key Features

  1. Advanced Function Calling: Arcee Agent excels at interpreting, executing, and chaining function calls. This capability allows it to interact seamlessly with a wide range of external tools, APIs, and services.

  2. Multiple Format Support: The model is compatible with various tool use formats, including:

    • Glaive FC v2
    • Salesforce
    • Agent-FLAN

Arcee-Agent performs best when using the VLLM OpenAI FC format, but it also excels with prompt-based solutions. Agent-Spark can accommodate any specific use case or infrastructure needs you may have.

  1. Dual-Mode Functionality:

    • Tool Router: Arcee Agent can serve as intelligent middleware, analyzing requests and efficiently routing them to appropriate tools or larger language models for processing.
    • Standalone Chat Agent: Despite its focus on function calling, Arcee Agent is capable of engaging in human-like conversations and completing a wide range of tasks independently.
  2. Unparalleled Speed and Efficiency: With its 7B parameter architecture, Arcee Agent delivers rapid response times and efficient processing, making it suitable for real-time applications and resource-constrained environments.

  3. Competitive Performance: In function calling and tool use tasks, Arcee Agent competes with the capabilities of models many times its size, offering a cost-effective solution for businesses and developers.

Detailed Function Calling and Tool Use Capabilities

Arcee Agent's function calling and tool use capabilities open up a world of possibilities for AI-driven applications. Here's a deeper look at what you can achieve:

  1. API Integration: Seamlessly interact with external APIs, allowing your applications to:

    • Fetch real-time data (e.g., stock prices, weather information)
    • Post updates to social media platforms
    • Send emails or SMS messages
    • Interact with IoT devices
  2. Database Operations: Execute complex database queries and operations through natural language commands, enabling:

    • Data retrieval and analysis
    • Record updates and insertions
    • Schema modifications
  3. Code Generation and Execution: Generate and run code snippets in various programming languages, facilitating:

    • Quick prototyping
    • Automated code review
    • Dynamic script generation for data processing
  4. Multi-step Task Execution: Chain multiple functions together to complete complex tasks, such as:

    • Booking travel arrangements (flights, hotels, car rentals)
    • Generating comprehensive reports from multiple data sources
    • Automating multi-stage business processes

Business Use Cases

Arcee Agent's unique capabilities make it an invaluable asset for businesses across various industries. Here are some specific use cases:

  1. Customer Support Automation:

    • Implement AI-driven chatbots that handle complex customer inquiries and support tickets.
    • Automate routine support tasks such as password resets, order tracking, and FAQ responses.
    • Integrate with CRM systems to provide personalized customer interactions based on user history.
  2. Sales and Marketing Automation:

    • Automate lead qualification and follow-up using personalized outreach based on user behavior.
    • Generate dynamic marketing content tailored to specific audiences and platforms.
    • Analyze customer feedback from various sources to inform marketing strategies.
  3. Operational Efficiency:

    • Automate administrative tasks such as scheduling, data entry, and report generation.
    • Implement intelligent assistants for real-time data retrieval and analysis from internal databases.
    • Streamline project management with automated task assignment and progress tracking.
  4. Financial Services Automation:

    • Automate financial reporting and compliance checks.
    • Implement AI-driven financial advisors for personalized investment recommendations.
    • Integrate with financial APIs to provide real-time market analysis and alerts.
  5. Healthcare Solutions:

    • Automate patient record management and data retrieval for healthcare providers.
  6. E-commerce Enhancements:

    • Create intelligent product recommendation systems based on user preferences and behavior.
    • Automate inventory management and supply chain logistics.
    • Implement AI-driven pricing strategies and promotional campaigns.
  7. Human Resources Automation:

    • Automate candidate screening and ranking based on resume analysis and job requirements.
    • Implement virtual onboarding assistants to guide new employees through the onboarding process.
    • Analyze employee feedback and sentiment to inform HR policies and practices.
  8. Legal Services Automation:

    • Automate contract analysis and extraction of key legal terms and conditions.
    • Implement AI-driven tools for legal research and case law summarization.
    • Develop virtual legal assistants to provide preliminary legal advice and document drafting.
  9. Educational Tools:

    • Create personalized learning plans and content recommendations for students.
    • Automate grading and feedback for assignments and assessments.
  10. Manufacturing and Supply Chain Automation:

    • Optimize production schedules and inventory levels using real-time data analysis.
    • Implement predictive maintenance for machinery and equipment.
    • Automate quality control processes through data-driven insights.

Benchmarking

Arcee-Agent-Evals

Intended Uses

Arcee Agent is designed for a wide range of applications where efficient function calling and tool use are crucial. Some potential use cases include:

  • Developing sophisticated chatbots and virtual assistants with advanced tool integration
  • Creating efficient middleware for routing and preprocessing requests to larger language models
  • Implementing AI-driven process automation in resource-constrained environments
  • Prototyping and testing complex tool-use scenarios without the need for more computationally expensive models
  • Building interactive documentation systems that can execute code examples in real-time
  • Developing intelligent agents for IoT device management and home automation
  • Creating AI-powered research assistants for various scientific disciplines

Limitations

While Arcee Agent excels in its specialized areas, users should be aware of its limitations:

  • The model's general knowledge and capabilities outside of function calling and tool use may be more limited compared to larger, general-purpose language models.
  • Performance in tasks unrelated to its core functionalities may not match that of models with more diverse training.
  • As with all language models, outputs should be validated and used responsibly, especially in critical applications.
  • The model's knowledge cutoff date may limit its awareness of recent events or technological advancements.

Usage

The model was trained to respect many different formats - but the evals were done with this specific tool template:

In this environment, you have access to a set of tools you can use to answer the user's question.

You may call them like this:
<function_calls>
  <invoke>
    <tool_name>$TOOL_NAME</tool_name>
    <parameters>
      <$PARAMETER_NAME>$PARAMETER_VALUE</$PARAMETER_NAME>
      ...
    </parameters>
  </invoke>
</function_calls>

Here are the tools available:
<tools>
Downloads last month
254
Safetensors
Model size
7.62B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for arcee-ai/Arcee-Agent

Finetunes
6 models
Quantizations
5 models