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Installation Guide

This guide will help you install GGUF Loader 2.0.0 on your system.

🚀 Quick Installation

Using pip (Recommended)

pip install ggufloader

That's it! You can now run GGUF Loader with:

ggufloader

📋 System Requirements

Minimum Requirements

  • Python: 3.8 or higher
  • RAM: 4GB (8GB+ recommended for larger models)
  • Storage: 2GB free space for models
  • OS: Windows 10/11, macOS 10.14+, or Linux

Recommended Requirements

  • Python: 3.10 or higher
  • RAM: 16GB or more
  • GPU: NVIDIA GPU with CUDA support (optional but recommended)
  • Storage: 10GB+ free space for multiple models

🔧 Detailed Installation

Step 1: Install Python

If you don't have Python installed:

Windows

  1. Download Python from python.org
  2. Run the installer and check "Add Python to PATH"
  3. Verify installation: python --version

macOS

# Using Homebrew (recommended)
brew install python

# Or download from python.org

Linux (Ubuntu/Debian)

sudo apt update
sudo apt install python3 python3-pip

Step 2: Create Virtual Environment (Recommended)

# Create virtual environment
python -m venv ggufloader-env

# Activate it
# Windows:
ggufloader-env\Scripts\activate
# macOS/Linux:
source ggufloader-env/bin/activate

Step 3: Install GGUF Loader

pip install ggufloader

Step 4: Verify Installation

ggufloader --version

🎮 First Run

Launch GGUF Loader

ggufloader

This will open the GGUF Loader application with the Smart Floating Assistant addon already loaded.

Load Your First Model

  1. Download a GGUF model (e.g., from Hugging Face)
  2. Click "Select GGUF Model" in the application
  3. Choose your model file
  4. Wait for loading (may take a few minutes)
  5. Start chatting!

🔧 GPU Acceleration (Optional)

For better performance with larger models, you can enable GPU acceleration:

NVIDIA GPU (CUDA)

# Uninstall CPU version
pip uninstall llama-cpp-python

# Install GPU version
pip install llama-cpp-python --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu121

Apple Silicon (Metal)

# Uninstall CPU version
pip uninstall llama-cpp-python

# Install Metal version
CMAKE_ARGS="-DLLAMA_METAL=on" pip install llama-cpp-python

🛠️ Advanced Installation

Development Installation

If you want to contribute or modify GGUF Loader:

# Clone the repository
git clone https://github.com/gguf-loader/gguf-loader.git
cd gguf-loader

# Install in development mode
pip install -e .

# Install development dependencies
pip install -e .[dev]

Custom Installation Location

# Install to specific directory
pip install --target /path/to/directory ggufloader

# Add to Python path
export PYTHONPATH="/path/to/directory:$PYTHONPATH"

🐛 Troubleshooting Installation

Common Issues

Issue: "pip not found"

# Windows
python -m pip install ggufloader

# macOS/Linux
python3 -m pip install ggufloader

Issue: "Permission denied"

# Use --user flag
pip install --user ggufloader

# Or use virtual environment (recommended)
python -m venv venv
source venv/bin/activate  # Linux/macOS
# or
venv\Scripts\activate     # Windows
pip install ggufloader

Issue: "Package not found"

# Update pip first
pip install --upgrade pip

# Then install
pip install ggufloader

Issue: "SSL Certificate error"

# Use trusted hosts
pip install --trusted-host pypi.org --trusted-host pypi.python.org ggufloader

Platform-Specific Issues

Windows

macOS

  • Issue: "Command line tools not found"
    • Solution: xcode-select --install

Linux

  • Issue: Missing system dependencies 
    # Ubuntu/Debian
sudo apt install build-essential python3-dev

# CentOS/RHEL
sudo yum groupinstall "Development Tools"
sudo yum install python3-devel

🔄 Updating GGUF Loader

Update to Latest Version

pip install --upgrade ggufloader

Check Current Version

ggufloader --version

Downgrade if Needed

pip install ggufloader==1.0.0  # Replace with desired version

🗑️ Uninstallation

Remove GGUF Loader

pip uninstall ggufloader

Clean Up Dependencies (Optional)

# List installed packages
pip list

# Remove specific dependencies if not needed elsewhere
pip uninstall llama-cpp-python PySide6 pyautogui pyperclip

Remove Configuration Files

# Windows
rmdir /s "%APPDATA%\ggufloader"

# macOS/Linux
rm -rf ~/.config/ggufloader
rm -rf ~/.local/share/ggufloader

📦 Alternative Installation Methods

Using conda

# Create conda environment
conda create -n ggufloader python=3.10
conda activate ggufloader

# Install via pip (no conda package yet)
pip install ggufloader

Using pipx (Isolated Installation)

# Install pipx if not already installed
pip install pipx

# Install ggufloader in isolated environment
pipx install ggufloader

# Run
ggufloader

From Source

# Download source
wget https://github.com/gguf-loader/gguf-loader/archive/v2.0.0.tar.gz
tar -xzf v2.0.0.tar.gz
cd gguf-loader-2.0.0

# Install
pip install .

🎯 Next Steps

After installation:

  1. Read the Quick Start Guide to get up and running
  2. Check out the User Guide for detailed usage instructions
  3. Explore Addon Development to create custom addons
  4. Join our community for support and discussions

💡 Need Help?

Welcome to GGUF Loader! 🎉

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