"""NanoGPT model configuration"""

from transformers import PretrainedConfig
from transformers.utils import logging

logger = logging.get_logger(__name__)

class NanoGPTConfig(PretrainedConfig):
    """Configuration for NanoGPT model"""
    
    model_type = "nanogpt"
    
    def __init__(
        self,
        vocab_size=50257,
        n_embd=768,
        n_head=12,
        n_layer=12,
        block_size=1024,
        bias=True,
        dropout=0.0,
        **kwargs
    ):
        super().__init__(**kwargs)
        self.vocab_size = vocab_size
        self.n_embd = n_embd
        self.n_head = n_head
        self.n_layer = n_layer
        self.block_size = block_size
        self.bias = bias
        self.dropout = dropout