from transformers.configuration_utils import PretrainedConfig

class TinyGPTConfig(PretrainedConfig):
    model_type = "tinygpt"

    def __init__(
        self,
        vocab_size=30522,
        n_layers=4,
        n_heads=4,
        d_model=256,
        d_ff=1024,
        max_seq_len=512,
        **kwargs
    ):
        super().__init__(**kwargs)
        self.vocab_size = vocab_size
        self.n_layers = n_layers
        self.n_heads = n_heads
        self.d_model = d_model
        self.d_ff = d_ff
        self.max_seq_len = max_seq_len