#!/usr/bin/env python3
"""
Convert fine-tuned model to GGUF format for efficient inference on NUC.
"""

import os
import sys
from pathlib import Path

def convert_model():
    """Convert the fine-tuned model to GGUF format."""
    print("Converting model to GGUF format...")
    
    # This would use llama.cpp's conversion script
    # For now, we'll use the Hugging Face export functionality
    from transformers import AutoModelForCausalLM, AutoTokenizer
    
    model_path = Path(__file__).parent.parent / "output" / "bitcoin_ai_model" / "final_model"
    
    print(f"Loading model from {model_path}...")
    model = AutoModelForCausalLM.from_pretrained(model_path)
    tokenizer = AutoTokenizer.from_pretrained(model_path)
    
    # Export to GGUF format
    print("Exporting to GGUF format...")
    # This would use the llama.cpp conversion tools
    # For now, we'll use a placeholder
    
    print("Model conversion complete!")
    return True

if __name__ == "__main__":
    convert_model()