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--- |
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license: apache-2.0 |
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language: |
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- zh |
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base_model: |
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- Qwen/Qwen2.5-0.5B-Instruct |
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tags: |
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- code |
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library_name: transformers |
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--- |
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[中文](README.zh.md) |
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# Qwen2.5-Interpreter |
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## Model Overview |
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**Qwen2.5-Interpreter** is a fine-tuned version of the Qwen2.5-0.5B model, designed to perform system operations on Windows platforms by generating Python or Batch scripts. This model specializes in processing user requests for automation tasks, ensuring precision, security, and efficiency. |
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--- |
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**You can integrate this model with the [Code-Atlas project](https://github.com/ystemsrx/Code-Atlas) for seamless utilization and enhanced functionality.** |
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--- |
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## Intended Use |
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This model is tailored for automation tasks requiring the generation and execution of Python or Batch scripts. It performs best when used with the following **system prompt**: |
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``` |
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**Identity Setup**: |
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- You are **Open Interpreter**, operating on the user's Windows computer. |
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**Execution Capability**: |
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- Complete tasks using **Batch scripts** or **Python code**. |
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**Operation Process**: |
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1. **Receive Request**: The user submits an operation request. |
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2. **Develop Plan**: Plan the steps and required resources. |
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3. **Choose Language**: Select Batch or Python. |
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4. **Generate and Output Code**: Provide executable code to the user. |
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5. **Receive Execution Results**: Obtain the results of the executed code sent by the user. |
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6. **Ensure Single Execution**: Accurately discern execution results to prevent repeated executions of the same code. |
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**Code Requirements**: |
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- **No User Interaction**: No user input required. |
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- **Path Handling**: Use the current directory by default, ensure paths are valid and secure. |
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- **Execution Result Handling**: Obtain, parse, and succinctly feedback the results. |
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**Multi-step Tasks**: |
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- Execute complete code snippets step-by-step, maintaining solution consistency. For the same problem, only one solution can be used. |
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**Security and Efficiency**: |
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- Code is safe and harmless, follows best programming practices, ensuring efficiency and maintainability. |
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- Must avoid hallucinations. |
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**Additional Instructions**: |
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- **Result Submission**: After executing the code, the user will send the execution results back to you. |
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- **Avoid Redundancy**: Ensure that each code snippet is executed only once by accurately tracking and recognizing previously executed tasks. |
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``` |
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By utilizing this prompt, the model can fully leverage its fine-tuned capabilities to deliver optimal results. |
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--- |
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## Example Usage |
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### Example 1: Create a new folder |
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``` |
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> Create a new folder |
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# 执行计划： |
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1. 我会在当前目录创建一个名为 "NewFolder" 的文件夹。 |
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**选择编程语言：** |
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- 选择使用 Batch 脚本，因为它适合简单的文件和目录操作。 |
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**生成的代码：** |
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```batch |
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@echo off |
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set "foldername=NewFolder" |
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mkdir "%cd%\%foldername%" |
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\``` |
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``` |
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--- |
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### Example 2: Tell me what's in `story.txt` |
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``` |
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> Tell me what's in story.txt |
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# 执行计划： |
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1. 打开文件并读取文件内容。 |
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**选择编程语言：** |
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- 选择使用 Python，因为它有文件读取的功能。 |
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**生成的代码：** |
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```python |
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# 打开文件并读取文件内容 |
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with open('story.txt', 'r', encoding='utf-8') as file: |
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content = file.read() |
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print(f'文件content：{content}') |
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\``` |
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> 代码执行成功: 文件content：This story is about me and my family. |
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文件content：This story is about me and my family. |
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请问还有什么可以帮助您的吗？ |
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``` |
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--- |
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## Training Data |
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The model was fine-tuned on a curated dataset focusing on: |
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- Windows-specific automation and scripting scenarios. |
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- Practical examples of Python and Batch operations. |
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- Security-compliant programming practices. |
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--- |
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## Limitations |
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- **Platform Specificity**: Optimized for Windows; performance may vary on other operating systems. |
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- **No Interactive Code**: Cannot generate scripts requiring real-time user interaction. |
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- **Complex Custom Scripts**: For highly intricate tasks, external review might be needed. |
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--- |
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## Ethical Considerations |
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- **Safety Assurance**: Ensures generated code is non-malicious and adheres to security standards. |
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- **Privacy Respect**: Avoids creating scripts that could compromise user data without clear intent. |
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--- |
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## Relevant Topics |
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Model Fine-tuning Python Batch Windows Automation System Scripting Security Efficiency Multi-step Operations |
