### exl2 quant (measurement.json included) --- ### original readme below --- --- license: apache-2.0 language: - en - de - ar ---
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](https://huggingface.co/crusoeai). Arcee-Agent was trained using [Spectrum](https://arxiv.org/abs/2406.06623). GGUFs are available from [CrusoeAI](https://huggingface.co/crusoeai/Arcee-Agent-GGUF). ### 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. 4. **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. 5. **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. 6. **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: ```python 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: $TOOL_NAME <$PARAMETER_NAME>$PARAMETER_VALUE ... Here are the tools available: ```