You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

GGUF Loader

Hugging Face License Last Commit

Crossโ€‘platform GUI & pluginโ€‘based runner for GGUFโ€‘format LLMsโ€”fully local, offline, no terminal required.


๐Ÿ“‚ Repository & Website


๐Ÿ”– Model Card

This โ€œmodelโ€ repository hosts the Model Card and optional demo Space for GGUF Loader, a desktop application that loads, manages, and chats with GGUFโ€‘format large language models entirely offline.


๐Ÿ“ Description

GGUF Loader is a Pythonโ€‘based, dragโ€‘andโ€‘drop GUI tool for running GGUFโ€‘format LLMs (Mistral, LLaMA, DeepSeek, etc.) on Windows, macOS, and Linux. It features:

  • โœจ GUIโ€‘First: No terminal commands; pointโ€‘andโ€‘click interface
  • ๐Ÿ”Œ Plugin System: Extend with addons (PDF summarizer, email assistant, spreadsheet automatorโ€ฆ)
  • โšก๏ธ Lightweight: Runs on machines as modest as Intel i5 + 16โ€ฏGB RAM
  • ๐Ÿ”’ Offline & Private: All inference happens locallyโ€”no cloud calls

๐ŸŽฏ Intended Uses

  • Local AI prototyping: Experiment with open GGUF models without API costs
  • Privacyโ€‘focused demos: Chat privately with LLMs on your own machine
  • Plugin workflows: Build custom dataโ€‘processing addons (e.g. summarization, code assistant)

โš ๏ธ Limitations

  • No cloud integration: Purely local, no access to OpenAI or Hugging Face inference APIs
  • GUI only: No headless server/CLIโ€‘only mode (coming soon)
  • Requires Python 3.8+ and dependencies (llama-cpp-python, PySide6)

๐Ÿš€ 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. โ€œSummarize PDFโ€)
  • 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")

๐Ÿ“ฆ Features

Feature Description
GUI for GGUF LLMs Pointโ€‘andโ€‘click model loading & chatting
Plugin Addons Summarization, code helper, email reply, more
Crossโ€‘Platform Windows, macOS, Linux
Multiโ€‘Model Support Mistral, LLaMA, DeepSeek, Yi, Gemma, OpenHermes
Memoryโ€‘Efficient Designed to run on 16โ€ฏGB RAM or higher

๐Ÿ’ก Comparison

Tool GUI Plugins Pip Install Offline Notes
GGUF Loader โœ… โœ… โœ… โœ… Modular, dragโ€‘andโ€‘drop UI
LM Studio โœ… โŒ โŒ โœ… More polished, less extensible
Ollama โŒ โŒ โŒ โœ… CLIโ€‘first, narrow use case
GPT4All โœ… โŒ โœ… โœ… Limited plugin support

๐Ÿ”— Demo Space

Try a static demo or minimal Gradio embed (no live inference) here:
https://huggingface.co/spaces/Hussain2050/gguf-loader-demo


๐Ÿ“š Citation

If you use GGUF Loader in your research or project, please cite:

@misc{ggufloader2025,
  title        = {GGUF Loader: Local GUI & Pluginโ€‘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: mit

๐Ÿง  GGUF Loader Quickstart

๐Ÿ“ฆ 1. Install GGUF Loader via pip

pip install ggufloader

๐Ÿš€ 2. Launch the App

After installation, run the following command in your terminal:

ggufloader

This will start the GGUF Loader interface. You can now load and chat with any GGUF model locally.

Let me know if you want to support GUI launching, system tray, or shortcuts too.


๐Ÿ”ฝ Download GGUF Models

โšก Click a link below to download the model file directly (no Hugging Face page in between).

๐Ÿง  Mistral-7B Instruct

๐Ÿง  Qwen 1.5-7B Chat

๐Ÿง  DeepSeek 7B Chat

๐Ÿง  LLaMA 3 8B Instruct


๐Ÿ—‚๏ธ More Model Collections


โš–๏ธ License

This project is licensed under the MIT License. See LICENSE for details.

Last updated: July 11, 2025

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support