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README.md

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+
+---
+
+license: apache-2.0
+language:
+- en
+- de
+- ar
+
+---
+
+![](https://cdn.discordapp.com/attachments/791342238541152306/1264099835221381251/image.png?ex=669ca436&is=669b52b6&hm=129f56187c31e1ed22cbd1bcdbc677a2baeea5090761d2f1a458c8b1ec7cca4b&)
+
+# QuantFactory/Arcee-Agent-GGUF
+This is quantized version of [arcee-ai/Arcee-Agent](https://huggingface.co/arcee-ai/Arcee-Agent) created using llama.cpp
+
+# Original Model Card
+
+
+<div align="center">
+  <img src="https://i.ibb.co/CBHmTDn/136719a5-6d8a-4654-a618-46eabc788953.jpg" alt="Arcee-Agent" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;">
+</div>
+
+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
+<div align="center">
+  <img src="https://i.ibb.co/xmgswP8/Screenshot-2024-07-02-at-1-49-04-PM.png" alt="Arcee-Agent-Evals" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;">
+</div>
+
+## 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:
+<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>
+```