license	base_model	pipeline_tag	tags
apache-2.0	mistralai/Mistral-7B-Instruct-v0.3	translation	llm devops development polish english python iac

🚀 WronAI - End-to-End LLM Toolkit

A comprehensive toolkit for creating, fine-tuning, and deploying large language models with support for both Polish and English.

🌟 Features

• Ready-to-use WronAI package - All functionality available through the wronai package
• Model Management - Easy installation and management of LLM models
• Multiple Model Support - Works with various models via Ollama
• Optimizations - 4-bit quantization, LoRA, FP16 support
• CLI Tools - Command-line interface for all operations
• Production Ready - Easy deployment with Docker
• Web Interface - User-friendly Streamlit-based web UI

🚀 Quick Start

Prerequisites

• Python 3.8+
• Ollama installed and running
• CUDA (optional, for GPU acceleration)

Installation

# Install the package
pip install wronai

# Start Ollama (if not already running)
ollama serve &

# Pull the required model (e.g., mistral:7b-instruct)
ollama pull mistral:7b-instruct

Basic Usage

Using Python Package

from wronai import WronAI

# Initialize with default settings
wron = WronAI()

# Chat with the model
response = wron.chat("Explain quantum computing in simple terms")
print(response)

Command Line Interface

# Start interactive chat
wronai chat

# Run a single query
wronai query "Explain quantum computing in simple terms"

Web Interface

# Start the web UI
wronai web

🔧 Model Management

List available models:

ollama list

Pull a model (if not already available):

ollama pull mistral:7b-instruct

🐳 Docker Support

Run with Docker:

docker run -p 8501:8501 wronai/wronai web

🛠️ Development

Installation from Source

# Clone the repository
git clone https://github.com/wronai/llm-demo.git
cd llm-demo

# Install in development mode
pip install -e ".[dev]"

# Install pre-commit hooks
pre-commit install

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=wronai --cov-report=term-missing

🤝 Contributing

Contributions are welcome! Please see our Contributing Guide for details.

📜 License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

📧 Contact

For questions or support, please open an issue on GitHub or contact us at [email protected]