GGUF Loader
Cross‑platform GUI & plugin‑based runner for GGUF‑format LLMs—fully local, offline, no terminal required.
📂 Repository & Website
- GitHub: GGUF Loader on GitHub
- Website: https://ggufloader.github.io
🔖 Model Card
This “model” repository hosts the Model Card and optional demo Space for GGUF Loader, a desktop application that loads, manages, and chats with GGUF‑format large language models entirely offline.
📝 Description
GGUF Loader is a Python‑based, drag‑and‑drop GUI tool for running GGUF‑format LLMs (Mistral, LLaMA, DeepSeek, etc.) on Windows, macOS, and Linux. It features:
- ✨ GUI‑First: No terminal commands; point‑and‑click interface
- 🔌 Plugin System: Extend with addons (PDF summarizer, email assistant, spreadsheet automator…)
- ⚡️ Lightweight: Runs on machines as modest as Intel i5 + 16 GB RAM
- 🔒 Offline & Private: All inference happens locally—no cloud calls
🎯 Intended Uses
- Local AI prototyping: Experiment with open GGUF models without API costs
- Privacy‑focused demos: Chat privately with LLMs on your own machine
- Plugin workflows: Build custom data‑processing addons (e.g. summarization, code assistant)
⚠️ Limitations
- No cloud integration: Purely local, no access to OpenAI or Hugging Face inference APIs
- GUI only: No headless server/CLI‑only mode (coming soon)
- Requires Python 3.8+ and dependencies (
llama-cpp-python
,PySide6
)
🚀 How to Use
1. Install
pip install ggufloader
2. Launch GUI
ggufloader
3. Load Your Model
- Drag & drop your
.gguf
model file into the window - Select plugin(s) from the sidebar (e.g. “Summarize PDF”)
- Start chatting!
4. Python API
from ggufloader import chat
# Ensure you have a GGUF model in ./models/mistral.gguf
chat("Hello offline world!", model_path="./models/mistral.gguf")
📦 Features
Feature | Description |
---|---|
GUI for GGUF LLMs | Point‑and‑click model loading & chatting |
Plugin Addons | Summarization, code helper, email reply, more |
Cross‑Platform | Windows, macOS, Linux |
Multi‑Model Support | Mistral, LLaMA, DeepSeek, Yi, Gemma, OpenHermes |
Memory‑Efficient | Designed to run on 16 GB RAM or higher |
💡 Comparison
Tool | GUI | Plugins | Pip Install | Offline | Notes |
---|---|---|---|---|---|
GGUF Loader | ✅ | ✅ | ✅ | ✅ | Modular, drag‑and‑drop UI |
LM Studio | ✅ | ❌ | ❌ | ✅ | More polished, less extensible |
Ollama | ❌ | ❌ | ❌ | ✅ | CLI‑first, narrow use case |
GPT4All | ✅ | ❌ | ✅ | ✅ | Limited plugin support |
🔗 Demo Space
Try a static demo or minimal Gradio embed (no live inference) here:
https://huggingface.co/spaces/Hussain2050/gguf-loader-demo
📚 Citation
If you use GGUF Loader in your research or project, please cite:
@misc{ggufloader2025,
title = {GGUF Loader: Local GUI & Plugin‑Based Runner for GGUF Format LLMs},
author = {Hussain Nazary},
year = {2025},
howpublished = {\url{https://github.com/GGUFloader/gguf-loader}},
note = {Version 1.0.2, PyPI: ggufloader}
}
⚖️ License
This project is licensed under the MIT License. See LICENSE for details.
Last updated: July 11, 2025