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#!/usr/bin/env python3
"""
ÜBERMENSCHETIEN QUICK START
============================
One-command setup and training.
Usage:
python quickstart.py --full # Run full pipeline
python quickstart.py --train-dense # Just dense training
python quickstart.py --train-cfhot # Just CF-HoT heads
python quickstart.py --improve # Just self-improvement
python quickstart.py --test # Test current model
"From zero to self-improving in one command"
"""
import os
import sys
import argparse
import subprocess
from pathlib import Path
ROOT = os.path.dirname(os.path.abspath(__file__))
def run_command(cmd, description):
"""Run a command with nice output."""
print(f"\n{'='*70}")
print(f"🚀 {description}")
print(f"{'='*70}")
print(f"$ {cmd}\n")
result = subprocess.run(cmd, shell=True, cwd=ROOT)
if result.returncode != 0:
print(f"\n❌ Failed: {description}")
return False
print(f"\n✓ Complete: {description}")
return True
def check_dependencies():
"""Check required packages are installed."""
print("\n🔍 Checking dependencies...")
required = [
"torch",
"transformers",
"peft",
"bitsandbytes",
"accelerate",
]
missing = []
for pkg in required:
try:
__import__(pkg)
print(f" ✓ {pkg}")
except ImportError:
print(f" ✗ {pkg}")
missing.append(pkg)
if missing:
print(f"\n❌ Missing packages: {', '.join(missing)}")
print("Install with: pip install " + " ".join(missing))
return False
print("\n✓ All dependencies installed")
return True
def train_dense(steps=100):
"""Run THE CONDENSATOR dense training."""
return run_command(
f"python the_condensator.py --stages sft,dpo,rl --steps {steps}",
"THE CONDENSATOR - Dense Response Training"
)
def train_cfhot(steps=3000):
"""Train CF-HoT behavior heads."""
success = True
for behavior in ["repetition", "hedging", "verbosity"]:
if not run_command(
f"python train_cfhot_head.py --behavior {behavior} --steps {steps}",
f"CF-HoT {behavior.upper()} Head Training"
):
success = False
return success
def train_self_improve(iterations=5):
"""Run stable self-improvement."""
return run_command(
f"python train_self_improve.py --iterations {iterations}",
"Stable Self-Improvement Loop"
)
def test_model(checkpoint=None):
"""Test the model."""
cmd = "python the_condensator.py --eval-only"
if checkpoint:
cmd += f" --checkpoint {checkpoint}"
return run_command(cmd, "Model Evaluation")
def full_pipeline():
"""Run the complete training pipeline."""
print("\n" + "="*70)
print("🔥 ÜBERMENSCHETIEN FULL TRAINING PIPELINE")
print("="*70)
print("""
This will run:
1. THE CONDENSATOR (SFT → DPO → RL)
2. CF-HoT Head Training (repetition, hedging, verbosity)
3. Stable Self-Improvement Loop
Estimated time: 2-4 hours on RTX 3090
""")
if not check_dependencies():
return False
# Step 1: Dense training
if not train_dense(100):
return False
# Step 2: CF-HoT heads
if not train_cfhot(1000): # Fewer steps for quick start
return False
# Step 3: Self-improvement
if not train_self_improve(3):
return False
print("\n" + "="*70)
print("✓ ÜBERMENSCHETIEN TRAINING COMPLETE!")
print("="*70)
print("""
Your model is ready! Run:
python ubermenschetien_v2_full.py
Commands:
> hello # Chat
> !eval # Evaluate quality
> !improve # Continue self-improvement
""")
return True
def main():
parser = argparse.ArgumentParser(description="Übermenschetien Quick Start")
parser.add_argument("--full", action="store_true", help="Run full pipeline")
parser.add_argument("--train-dense", action="store_true", help="Run dense training only")
parser.add_argument("--train-cfhot", action="store_true", help="Run CF-HoT training only")
parser.add_argument("--improve", action="store_true", help="Run self-improvement only")
parser.add_argument("--test", action="store_true", help="Test current model")
parser.add_argument("--steps", type=int, default=100, help="Training steps")
parser.add_argument("--checkpoint", type=str, default=None, help="Checkpoint path for testing")
args = parser.parse_args()
if args.full:
full_pipeline()
elif args.train_dense:
train_dense(args.steps)
elif args.train_cfhot:
train_cfhot(args.steps)
elif args.improve:
train_self_improve()
elif args.test:
test_model(args.checkpoint)
else:
parser.print_help()
print("\n💡 Try: python quickstart.py --full")
if __name__ == "__main__":
main()
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