Add Phi-2 Model Integration to AI Explorer

[rezol25]

Overview

Integration of Microsoft's Phi-2 model (2.7B parameters) into AI Explorer, providing an efficient and powerful solution for text generation and analysis tasks.

Changes Made

• [✔️] Added Phi-2 model implementation
• [✔️] Created React-based UI interface
• [✔️] Integrated with existing AI Explorer architecture
• [✔️] Added comprehensive documentation
• [✔️] Included benchmark results
• [✔️] Added setup instructions

Technical Details

Model Specifications

• Model: Microsoft Phi-2
• Size: 2.7B parameters
• VRAM: 3-4GB
• Context Window: 2048 tokens
• License: MIT (research)

Implementation

• Frontend: React/Material-UI components
• Backend: Transformer-based inference ( python )
• API Integration: Full compatibility with AI Explorer

Documentation

Complete documentation included in:

• detailed test result ( phi-2 model ).md
• documentation.md
• integrated adaption for existing ai-explorer.py ( code )
• adaptation phi-2 for ai-explorer.py ( code )

Testing

• [✔️] UI Integration tests
• [✔️] Model performance benchmarks
• [✔️] Error handling verification
• [✔️] Documentation review

Demo

Implementation demonstration recorded via Focus Omega app showing:

• Original model usage

• AI Explorer integration

• Benchmark results

  ( also showed using the new GPT thats out for the public how it can help test )

Setup Instructions

See set ups.md for complete setup guide.

Quick start:

# Create virtual environment
python -m venv phi2-env
source phi2-env/bin/activate

# Install dependencies
pip install torch transformers accelerate gradio

# Run UI