quick start - GGUFloader/gguf-loader GitHub Wiki
Quick Start Guide
Get up and running with GGUF Loader 2.0.0 in just a few minutes!
🚀 Installation
pip install ggufloader
🎯 Launch GGUF Loader
ggufloader
This opens GGUF Loader with the Smart Floating Assistant addon already loaded.
📥 Load Your First Model
Step 1: Get a GGUF Model
Download a GGUF model from one of these sources:
Popular Model Sources:
- Hugging Face: https://huggingface.co/models?library=gguf
- TheBloke's Models: Search for "TheBloke" on Hugging Face
- Local Models: Convert your own models to GGUF format
Recommended Starter Models:
- Small (2-4GB):
llama-2-7b-chat.Q4_K_M.gguf
- Medium (4-8GB):
mistral-7b-instruct-v0.1.Q5_K_M.gguf
- Large (8GB+):
llama-2-13b-chat.Q4_K_M.gguf
Step 2: Load the Model
- Click "Select GGUF Model" in the main window
- Browse and select your downloaded
.gguf
file - Wait for loading (this may take 1-5 minutes depending on model size)
- Look for "Model ready!" message
💬 Test Basic Chat
Try Your First Chat
- Type a message in the chat input box
- Press Enter or click "Send"
- Watch the AI respond in real-time
- Continue the conversation!
Example Conversations:
You: Hello! How are you today?
AI: Hello! I'm doing well, thank you for asking. I'm here and ready to help you with any questions or tasks you might have. How can I assist you today?
You: Can you explain what GGUF models are?
AI: GGUF (GPT-Generated Unified Format) is a file format designed for storing large language models...
✨ Use the Smart Floating Assistant
The Smart Floating Assistant is GGUF Loader's killer feature - it works across ALL applications!
Step 1: Select Text Anywhere
- Open any application (browser, Word, Notepad, etc.)
- Select some text by highlighting it with your mouse
- Look for the ✨ floating button that appears near your cursor
Step 2: Process the Text
- Click the ✨ button
- Choose an action:
- Summarize: Get a concise summary
- Comment: Generate an insightful comment
- Wait for AI processing
- Copy the result and use it anywhere!
Example Workflow:
1. Reading a long article in your browser
2. Select a complex paragraph
3. Click ✨ → "Summarize"
4. Get: "This paragraph explains that..."
5. Copy and paste the summary into your notes
🎛️ Basic Settings
Model Settings
- Temperature: Controls creativity (0.1 = focused, 1.0 = creative)
- Max Tokens: Maximum response length
- Context Size: How much conversation history to remember
Smart Assistant Settings
- Enable/Disable: Toggle the floating assistant
- Response Speed: Adjust processing speed vs quality
- Auto-copy: Automatically copy results to clipboard
🔧 Common Tasks
Task 1: Summarize Articles
- Open an article in your browser
- Select the main content
- Click ✨ → "Summarize"
- Get a concise summary
Task 2: Generate Comments
- Select a social media post or forum discussion
- Click ✨ → "Comment"
- Get a thoughtful response
- Edit and post your AI-assisted comment
Task 3: Process Code
- Select code in your IDE or GitHub
- Click ✨ → "Comment"
- Get code explanation or suggestions
Task 4: Email Assistance
- Select email content
- Click ✨ → "Summarize" for long emails
- Click ✨ → "Comment" to draft responses
🎨 Customization
Addon Management
- Click the addon sidebar (left panel)
- View loaded addons
- Click addon names to open their interfaces
- Manage addon settings
Themes and UI
- Dark/Light Mode: Available in settings
- Font Size: Adjustable for better readability
- Window Layout: Resizable panels
🐛 Quick Troubleshooting
Model Won't Load
- Check file format: Must be
.gguf
- Check file size: Ensure enough RAM
- Try smaller model: Start with 4GB or less
Floating Assistant Not Working
- Check model: Must have a model loaded first
- Try different text: Select at least 5+ characters
- Restart application: Sometimes helps with initialization
Performance Issues
- Close other apps: Free up RAM
- Use smaller model: Try Q4 quantization
- Enable GPU: If you have compatible hardware
📚 Next Steps
Learn More
- User Guide: Complete feature documentation
- Addon Development: Create custom addons
- Configuration: Advanced settings
Get Involved
- GitHub: Source code and issues
- Discussions: Community support
- Contributing: Help improve GGUF Loader
💡 Pro Tips
Efficiency Tips
- Use keyboard shortcuts: Learn the hotkeys for faster workflow
- Bookmark good models: Keep a list of your favorite GGUF models
- Organize your workflow: Use the floating assistant for specific tasks
- Experiment with prompts: Different phrasings get different results
Model Selection Tips
- Start small: Begin with 7B parameter models
- Match your hardware: Don't exceed your RAM capacity
- Try different quantizations: Q4_K_M is a good balance
- Read model cards: Check Hugging Face for model details
Smart Assistant Tips
- Select quality text: Better input = better output
- Use specific actions: "Summarize" vs "Comment" give different results
- Edit the results: AI output is a starting point, not final copy
- Practice regularly: The more you use it, the more useful it becomes
🎉 You're Ready!
Congratulations! You now know the basics of GGUF Loader 2.0.0. The Smart Floating Assistant will transform how you work with text across all your applications.
What You've Learned:
- ✅ How to install and launch GGUF Loader
- ✅ How to load and use GGUF models
- ✅ How to use the Smart Floating Assistant
- ✅ Basic troubleshooting and customization
Ready for More?
- 📖 Dive deeper with the User Guide
- 🛠️ Create addons with the Development Guide
- 🤝 Join our community discussions
Happy AI-powered text processing! 🚀
Need help? Contact us at [email protected] or visit our support page.