Upload quickstart.sh

quickstart.sh

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+#!/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"