AgGPT10m

A revolutionary language model that is small and intelligent, designed to run efficiently on consumer hardware.

Example

import os
from AgGPT10m import AgGPT10m 

def main():
 vocab_file = "vocab.json"
 agmodel_file = "AgGPT10m.agmodel"

 if not os.path.exists(vocab_file):
 print(f"Error: Required file '{vocab_file}' not found. Please ensure your vocabulary is built.")
 return

 if not os.path.exists(agmodel_file):
 print(f"Error: Required file '{agmodel_file}' not found. Please ensure your encoded model data is generated.")
 return

 try:
 ag_gpt_model = AgGPT10m(max_n=2, vocab_path=vocab_file, agmodel_path=agmodel_file)
 print("AgGPT10m model initialized and trained for N=1 to N=5.")

 prompt = "The"
 length = 50
 response = ag_gpt_model.ask(prompt, length)
 print(f"\nModel response for prompt '{prompt}' (length {length}):\n{response}")

 except Exception as e:
 print(f"An error occurred: {e}")

if __name__ == "__main__":
 main()

This code initializes the AgGPT10m model, checks for necessary files, and generates a response based on a given prompt.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Base model