quickstart.sh

#!/bin/bash
# AETHER Quickstart — One-command setup and training
# Usage: bash quickstart.sh

set -e

echo "=========================================="
echo "  AETHER: Self-Evolving Neuro-Symbolic AGI"
echo "=========================================="
echo ""

# Check for GPU
if command -v nvidia-smi &> /dev/null; then
    echo "✓ GPU detected:"
    nvidia-smi --query-gpu=name,memory.total --format=csv,noheader | head -1
    DEVICE="gpu"
else
    echo "⚠ No GPU detected — will train on CPU (slower)"
    DEVICE="cpu"
fi

# Check Python
if ! command -v python3 &> /dev/null; then
    echo "✗ Python 3 not found. Please install Python 3.10+"
    exit 1
fi

echo "✓ Python: $(python3 --version)"

# Create venv if doesn't exist
if [ ! -d "venv" ]; then
    echo ""
    echo "Creating virtual environment..."
    python3 -m venv venv
fi

source venv/bin/activate

# Install dependencies
echo ""
echo "Installing dependencies..."
pip install -q --upgrade pip
pip install -q torch transformers datasets accelerate peft trl networkx numpy sentencepiece protobuf huggingface-hub

echo "✓ Dependencies installed"

# Clone AETHER if not present
if [ ! -d "aether-core" ]; then
    echo ""
    echo "Downloading AETHER..."
    git clone https://huggingface.co/camdog920/aether-core
fi

cd aether-core

# Set HF token if available
if [ -n "$HF_TOKEN" ]; then
    echo "✓ HF_TOKEN found"
    huggingface-cli login --token "$HF_TOKEN" --add-to-git-credential
else
    echo "⚠ HF_TOKEN not set. Set it with: export HF_TOKEN=hf_xxxx"
    echo "  Get token: https://huggingface.co/settings/tokens"
fi

# Choose training script
if [ "$DEVICE" = "gpu" ]; then
    echo ""
    echo "=========================================="
    echo "  Starting GPU Training (GRPO)"
    echo "  Model: Qwen/Qwen2.5-0.5B-Instruct"
    echo "  Duration: ~2-3 hours"
    echo "=========================================="
    python aether_train.py
else
    echo ""
    echo "=========================================="
    echo "  Starting CPU Training (SFT)"
    echo "  Model: Qwen/Qwen2.5-0.5B-Instruct"
    echo "  Duration: ~6-8 hours"
    echo "=========================================="
    python aether_train_cpu.py
fi

echo ""
echo "=========================================="
echo "  Training Complete!"
echo "  Model pushed to HuggingFace Hub"
echo "=========================================="
echo ""
echo "Next steps:"
echo "  1. Load model: from transformers import AutoModelForCausalLM"
echo "  2. Integrate with AETHER core for self-evolution"
echo "  3. Run: python aether_demo.py"