metadata

title: Advanced Reasoning System 🧠
emoji: 🧠
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.16.0
app_file: app.py
pinned: false
license: mit

Advanced Reasoning System 🧠

A sophisticated reasoning system that combines multiple strategies with local LLM capabilities for improved performance.

Features

Local LLM Integration: Uses Llama 3.2B Overthinker model for fast, local inference
Multiple Reasoning Strategies:
- Chain of Thought
- Tree of Thoughts
- Meta Learning
- Recursive Reasoning
- Analogical Reasoning
- And more!
Adaptive Strategy Selection: Dynamically chooses the best reasoning approach
GPU/CPU Flexibility: Automatically uses GPU when available, falls back to CPU
Efficient Resource Usage: Optimized for performance with configurable parameters

Technical Details

Model: tensorblock/Llama-3.2-3B-Overthinker-GGUF
Framework: Gradio 4.16.0
Backend: Python with async support
Inference: Local using llama-cpp-python

Usage

The system will automatically download the model on first run
GPU acceleration is used when available
Ask questions and get detailed, step-by-step responses
System adapts its reasoning strategy based on the query

Example Questions

What are the implications of artificial intelligence on society?
How does climate change affect global ecosystems?
What are the philosophical implications of quantum mechanics?

Installation

pip install -r requirements.txt
python app.py

Environment Variables

Create a .env file with:

HUGGINGFACE_TOKEN=your_token_here
DEBUG_MODE=False
LOG_LEVEL=INFO

License

MIT License

Files

app.py: Main application with Gradio interface and API integration
requirements.txt: Project dependencies
.env.example: Example environment variables (for reference)

Dependencies

gradio==4.16.0
requests==2.31.0

Created with ❤️ using Gradio and Hugging Face