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---
license: Apache License 2.0
#model-type:
##如 gpt、phi、llama、chatglm、baichuan 等
#- gpt
#domain:
##如 nlp、cv、audio、multi-modal
#- nlp
#language:
##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
#- cn
#metrics:
##如 CIDEr、Blue、ROUGE 等
#- CIDEr
#tags:
##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
#- pretrained
#tools:
##如 vllm、fastchat、llamacpp、AdaSeq 等
#- vllm
license: apache-2.0
language:
- en
- de
- ar
---
### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
SDK下载
```bash
#安装ModelScope
pip install modelscope
```
<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
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('QwenCollection/Arcee-Agent')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/QwenCollection/Arcee-Agent.git
```
In this environment, you have access to a set of tools you can use to answer the user's question.
<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
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>
```