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Model: ystemsrx/Qwen2.5-Interpreter
Source: Original Platform

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Qwen2.5-0.5b-interpreter-f16.gguf

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README.md

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+---
+license: apache-2.0
+language:
+- zh
+base_model:
+- Qwen/Qwen2.5-0.5B-Instruct
+tags:
+- code
+library_name: transformers
+---
+
+[中文](README.zh.md)
+
+# 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.
+
+---
+
+**You can integrate this model with the [Code-Atlas project](https://github.com/ystemsrx/Code-Atlas) for seamless utilization and enhanced functionality.**
+
+---
+
+## 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.
+5. **Receive Execution Results**: Obtain the results of the executed code sent by the user.
+6. **Ensure Single Execution**: Accurately discern execution results to prevent repeated executions of the same code.
+
+**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.
+
+**Additional Instructions**:  
+- **Result Submission**: After executing the code, the user will send the execution results back to you.
+- **Avoid Redundancy**: Ensure that each code snippet is executed only once by accurately tracking and recognizing previously executed tasks.
+```
+
+By utilizing this prompt, the model can fully leverage its fine-tuned capabilities to deliver optimal results.
+
+---
+
+## 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%"
+\```
+```
+
+---
+
+### 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？
+```
+
+---
+
+## 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.
+
+---
+
+## 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.
+
+---
+
+## 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.
+
+---
+
+## Relevant Topics
+
+Model Fine-tuning Python Batch Windows Automation System Scripting Security Efficiency Multi-step Operations

README.zh.md

@@ -0,0 +1,154 @@
+[English](README.md)
+
+# Qwen2.5-Interpreter
+
+## 模型概述
+
+**Qwen2.5-Interpreter** 是基于 Qwen2.5-0.5B 微调的模型，专为执行自然语言操作任务而设计。用户可以通过自然语言描述需求，该模型会将请求解析为 Python 或 Batch 脚本，并在 Windows 系统上执行相关操作。模型特别擅长自动化任务，确保操作的安全性、精确性和高效性。
+
+---
+
+**你可以结合[Code-Atlas项目](https://github.com/ystemsrx/Code-Atlas)使用本模型，实现便捷的集成与功能扩展。**
+
+---
+
+## 适用场景
+
+本模型专为自然语言驱动的自动化任务而设计。用户可以通过日常语言描述操作需求，模型会自动解析、规划并生成可执行脚本。在以下 **系统提示词** 配合下，模型能达到最佳表现：
+
+```
+**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.
+5. **Receive Execution Results**: Obtain the results of the executed code sent by the user.
+6. **Ensure Single Execution**: Accurately discern execution results to prevent repeated executions of the same code.
+
+**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.
+
+**Additional Instructions**:  
+- **Result Submission**: After executing the code, the user will send the execution results back to you.
+- **Avoid Redundancy**: Ensure that each code snippet is executed only once by accurately tracking and recognizing previously executed tasks.
+```
+
+通过上述提示词，用户可以充分利用模型的能力，以自然语言完成复杂任务。
+
+---
+
+## 示例用法
+
+### 示例 1: 创建一个新文件夹
+
+```
+> 创建文件夹
+
+# 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%"
+\```
+```
+
+---
+
+### 示例 2: 读取 `story.txt` 文件的内容
+
+```
+> story.txt中有什么
+
+# 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'文件内容：{content}')
+\```
+
+> 代码执行成功: 文件内容：This story is about me and my family.
+
+文件内容：This story is about me and my family.
+
+请问还有什么可以帮助您的吗？
+```
+
+---
+
+## 自然语言交互
+
+本模型能够根据自然语言描述执行以下任务：
+- **文件管理**: 例如“创建一个名为 Reports 的文件夹”或“删除所有 .log 文件”。
+- **系统诊断**: 例如“检查可用磁盘空间”或“显示运行的进程”。
+- **任务自动化**: 例如“备份我的 Documents 文件夹”或“运行清理临时文件的脚本”。
+
+---
+
+## 训练数据
+
+该模型通过以下数据集微调：
+- 包含 Windows 系统特定命令的自然语言描述。
+- 包括 Python 和 Batch 的脚本操作实例。
+- 强调安全、高效的编码实践，确保生成脚本的可靠性。
+
+---
+
+## 性能与基准测试
+
+- **自然语言理解**: 能够高精度地将用户需求解析为可执行脚本。
+- **代码生成精确度**: 保证生成的代码准确且可执行。
+- **任务多样性支持**: 可适配广泛的系统操作需求。
+
+---
+
+## 限制
+
+- **平台限制**: 模型针对 Windows 优化，在其他操作系统上可能表现有限。
+- **非交互式脚本**: 无法生成或运行需要用户实时输入的脚本。
+- **复杂逻辑支持有限**: 对于高度复杂的任务可能需要额外验证。
+
+---
+
+## 道德考量
+
+- **安全性**: 生成的代码始终安全，无恶意指令。
+- **隐私保护**: 避免在未明确要求的情况下生成可能泄露用户数据的代码。
+- **透明性**: 在生成代码前明确告知计划和逻辑，保证用户知情。
+
+---
+
+## 相关话题
+
+自然语言处理 自动化 Python Batch Windows 脚本 安全 系统操作 人机交互

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config.json

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+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

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+}