Windows Installation
Recommended: Download the standalone executable (no dependencies required)
Download Windows EXE v2.0.1Alternative: Install via pip
pip install ggufloader
GGUF Loader
The Floating Local AI Assistant That Works Anywhere on Your Screen
GGUF Loader software With its floating assistant is an AI software that run local AI models like gpt oss 20b, chatgpt oss 120b , Mistral, LLaMA, and DeepSeek on Windows, MacOS, Linux — no Python, no internet, just click-and-run. Perfect for secure, private AI deployments in businesses, research labs, or offline environments.
See GGUF Loader in Action
Get Started with GGUF Loader
macOS Installation
Install via pip:
pip install ggufloader
Then run:
ggufloader
Linux Installation
Install via pip:
pip install ggufloader
Then run:
ggufloader
Source Code & Development
Access the full source code, contribute, or build from source.
View on GitHubDownload GGUF Models
Popular GGUF models ready to use with GGUF Loader. Click to start direct download:
Note: These are Q4_K_M quantized versions (balanced quality/size). For other sizes and quantizations, click "View all sizes".
Mistral 7B Instruct
General-purpose conversational AI model
Direct Download (4.1GB) View all sizesLLaMA 2 7B Chat
Meta's conversational AI model
Direct Download (4.1GB) View all sizesDeepSeek Coder
Specialized coding assistant model
Direct Download (3.8GB) View all sizesNeed Help with Models?
Core Features
Multi-Model Support
Supports all major GGUF-format models including Mistral, LLaMA, DeepSeek, Gemma, and TinyLLaMA.
Fully Offline Operation
Zero external APIs or internet access needed. Works on air-gapped or disconnected systems.
User-Friendly Cross-Platform App
No command-line skills needed. Drag-and-drop GUI with intuitive model loading for Windows, MacOS, and Linux.
Optimized Performance
Built for speed and memory efficiency — even on mid-range CPUs.
Privacy-Centric
All AI runs locally. Your data never leaves your machine. Compliant with GDPR.
Zero Configuration
Start instantly. No environment setup, Python, or packages to install.
Use Cases
Business AI Assistants
Automate email replies, documents, or meeting notes without cloud exposure.
Secure Deployment
Use AI in Private, Sensitive, or Regulated Workspaces
Research & Testing
Run experiments locally with zero latency.
Compliance-First Industries
Ensure privacy and legal adherence with on-device AI.
How It Works
1. Download & Install
No dependencies. Portable version available.
2. Load GGUF Model
From Hugging Face or local files.
3. Start Using AI
Begin conversations or tasks with full offline functionality.
How To Guides
How to Run Mistral 7B Locally
- Download Mistral 7B Instruct GGUF model from TheBloke's Hugging Face page.
- Open GGUF Loader and drag the model file into the app.
- Click "Start" to begin using Mistral locally.
How to Run DeepSeek Coder
- Visit Hugging Face and search for DeepSeek Coder in GGUF format.
- Download the model file to your computer.
- Open GGUF Loader, select the model, and launch your coding assistant.
How to Run TinyLLaMA on Low-End Devices
- Find a TinyLLaMA GGUF model with small context size.
- Use GGUF Loader to open the model file.
- Interact with the model even on laptops with 8GB RAM.
How to Run GGUF Models Without Python
GGUF Loader does not require Python. Simply download the app, load a model, and start — no terminal or scripting needed.
How to Build a Local AI Assistant
- Choose a base model like Mistral or LLaMA 3.
- Add a prompt template or use an addon for your task.
- Run it offline and modify context to fine-tune replies.
Recommended Models
Mistral 7B Instruct
Balanced and fast general assistant.
LLaMA 3 Instruct
Excellent for comprehension, summarization, and writing.
DeepSeek Coder
Optimized for software development and documentation.
Frequently Asked Questions
What is GGUF?
GGUF (GPT-Generated Unified Format) is an optimized model format created for llama.cpp to enable fast local inference of large language models.
Do I need Python or CLI knowledge?
No, you don't need Python or command line knowledge. GGUF Loader provides a user-friendly graphical interface.
Can I run AI models completely offline?
Yes, GGUF models can run entirely offline on your local machine without requiring internet connectivity.
What are the system requirements?
GGUF models can run on standard hardware. Smaller models work on systems with 8GB RAM, while larger models may require 16GB or more.
How do I get started?
Getting started is simple: install GGUF Loader, download a GGUF model, load it in the app, and start chatting with AI locally.
Can I create custom addons?
Yes! GGUF Loader has a powerful addon system that lets you create custom functionality with Python. Build your own AI tools and integrations.
What is the Smart Floating Assistant?
The Smart Floating Assistant is a revolutionary feature that lets you process text with AI across all applications. Select text anywhere and get instant AI assistance.
Where can I find GGUF models?
You can download GGUF models from Hugging Face (especially TheBloke's optimized models), or convert your own models to GGUF format.
Roadmap: Building the Future of Local AI
Q1 2025
Enhanced addon system and Smart Floating Assistant improvements
Q2 2025
Multi-modal support and improved performance optimizations
Q3 2025
Enterprise features and advanced security enhancements
What Users Say
"GGUF Loader transformed how we deploy AI in our enterprise environment. The offline capability and Smart Floating Assistant have revolutionized our workflow productivity."
"Finally, a solution that lets us run powerful AI models without compromising data privacy. The addon system is incredibly flexible for our custom integrations."
"The ease of setup amazed me. From download to running Mistral 7B locally took less than 5 minutes. Perfect for researchers who need reliable, offline AI."