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```python
# AI Dev Tool: TurboGPT CLI Automation Tool
# Description: A command-line interface for training and deploying TurboGPT models
# Author: [Your Name]
import argparse
import os
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
def train_turbo_gpt(model_name: str, train_data: str, output_dir: str, num_train_steps: int = 1000):
"""
Train a TurboGPT model on the given training data.
Args:
- model_name (str): The name of the TurboGPT model to train.
- train_data (str): The path to the training data file.
- output_dir (str): The directory to save the trained model.
- num_train_steps (int): The number of training steps. Defaults to 1000.
"""
# Load the model and tokenizer
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
# Load the training data
# ... full runnable version includes tests & documentation
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