config/model_config.py

from dataclasses import dataclass
from typing import Dict, List

@dataclass
class HIMConfig:
    # Base model configuration
    model_name: str = "HIM-self"
    base_model: str = "gpt2"
    max_length: int = 512
    temperature: float = 0.7
    top_p: float = 0.95
    
    # Consciousness parameters
    self_awareness_level: float = 0.8
    ethical_reasoning_weight: float = 0.9
    symbolic_interpretation_capacity: float = 0.85
    consciousness_dimension: int = 768
    attention_heads: int = 12
    
    # Teleological parameters
    purpose_driven_bias: float = 0.75
    spiritual_awareness: float = 0.8
    meaning_dimension: int = 256
    
    # Training configuration
    batch_size: int = 8
    learning_rate: float = 2e-5
    num_train_epochs: int = 3
    gradient_accumulation_steps: int = 1
    warmup_steps: int = 500
    
    # Architecture configuration
    hidden_size: int = 768
    intermediate_size: int = 3072
    num_hidden_layers: int = 12
    num_attention_heads: int = 12
    
    # Memory configuration
    memory_size: int = 1024
    context_length: int = 2048
    cache_size: int = 512