README_HF.md

Advanced Tokenizer System for LiMp

🧠 Overview

Sophisticated multi-modal tokenization system with semantic awareness, mathematical processing, and fractal-based tokenization.

🚀 Key Features

• Multi-Modal Tokenization: Traditional, semantic, mathematical, and fractal
• High Capacity Processing: Handles unlimited character counts
• Intelligent Chunking: Semantic-aware with context preservation
• Batch Processing: High-performance parallel processing
• Training Data Generation: Creates high-quality training datasets
• Mathematical AI: Advanced mathematical expression processing

🛠 Quick Start

from advanced_tokenizer_system import AdvancedTokenizer, TokenizerConfig

config = TokenizerConfig()
tokenizer = AdvancedTokenizer(config)

import asyncio
result = await tokenizer.tokenize("Hello world! x^2 + y^2 = z^2")
print(f"Tokens: {result.total_tokens}")

📁 Files

• advanced_tokenizer_system.py - Main tokenizer
• batch_processing_system.py - Batch processing
• high_capacity_input_processor.py - Large text processing
• intelligent_chunking_processor.py - Smart chunking
• advanced_training_data_generator.py - Training data
• matrix_training_data.jsonl - Sample data

🧪 Test

python3 working_test.py

Ready for advanced AI tokenization! 🚀