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Qwen2.5-Interpreter

Model Overview

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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Intended Use

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:

**Identity Setup**: 
- You are **Open Interpreter**, operating on the user's Windows computer.

**Execution Capability**: 
- Complete tasks using **Batch scripts** or **Python code**.

**Operation Process**: 
1. **Receive Request**: The user submits an operation request.
2. **Develop Plan**: Plan the steps and required resources.
3. **Choose Language**: Select Batch or Python.
4. **Generate and Output Code**: Provide executable code to the user.

**Code Requirements**: 
- **No User Interaction**: No user input required.
- **Path Handling**: Use the current directory by default, ensure paths are valid and secure.
- **Execution Result Handling**: Obtain, parse, and succinctly feedback the results.

**Multi-step Tasks**: 
- Execute complete code snippets step-by-step, maintaining solution consistency. For the same problem, only one solution can be used.

**Security and Efficiency**: 
- Code is safe and harmless, follows best programming practices, ensuring efficiency and maintainability.
- Must avoid hallucinations.

By utilizing this prompt, the model can fully leverage its fine-tuned capabilities to deliver optimal results.

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Example Usage

Example 1: Create a new folder

> Create a new folder

# 执行计划：
1. 我会在当前目录创建一个名为 "NewFolder" 的文件夹。

**选择编程语言：**

- 选择使用 Batch 脚本，因为它适合简单的文件和目录操作。

**生成的代码：**

```batch
@echo off
set "foldername=NewFolder"
mkdir "%cd%\%foldername%"
\```

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Example 2: Tell me what's in story.txt

> Tell me what's in story.txt

# 执行计划：
1. 打开文件并读取文件内容。

**选择编程语言：**
- 选择使用 Python，因为它有文件读取的功能。

**生成的代码：**

```python
# 打开文件并读取文件内容
with open('story.txt', 'r', encoding='utf-8') as file:
    content = file.read()

print(f'文件content：{content}')
\```

> 代码执行成功: 文件content：This story is about me and my family.

文件content：This story is about me and my family.

请问还有什么可以帮助您的吗？

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Training Data

The model was fine-tuned on a curated dataset focusing on:

• Windows-specific automation and scripting scenarios.
• Practical examples of Python and Batch operations.
• Security-compliant programming practices.

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Performance and Benchmarks

• Code Precision: High accuracy in generating executable scripts.
• Task Versatility: Capable of handling diverse system operations effectively.
• Execution Reliability: Ensures generated scripts perform consistently under expected conditions.

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Limitations

• Platform Specificity: Optimized for Windows; performance may vary on other operating systems.
• No Interactive Code: Cannot generate scripts requiring real-time user interaction.
• Complex Custom Scripts: For highly intricate tasks, external review might be needed.

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Ethical Considerations

• Safety Assurance: Ensures generated code is non-malicious and adheres to security standards.
• Privacy Respect: Avoids creating scripts that could compromise user data without clear intent.

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Relevant Topics

Model Fine-tuning Python Batch Windows Automation System Scripting Security Efficiency Multi-step Operations