from transformers import PretrainedConfig

class MyGPTConfig(PretrainedConfig):
    model_type = "my_gpt"

    def __init__(
        self,
        vocab_size=50257,
        hidden_size=256,
        num_attention_heads=4,
        num_hidden_layers=12,
        max_position_embeddings=256,
        drop_rate=0.1,
        qkv_bias=False,
        bos_token_id=50256,
        eos_token_id=50256,
        pad_token_id=50256,
        **kwargs
    ):
        super().__init__(
            bos_token_id=bos_token_id,
            eos_token_id=eos_token_id,
            pad_token_id=pad_token_id,
            **kwargs
        )

        # 🔥 Standard HF field names
        self.vocab_size = vocab_size
        self.hidden_size = hidden_size
        self.num_attention_heads = num_attention_heads
        self.num_hidden_layers = num_hidden_layers
        self.max_position_embeddings = max_position_embeddings

        # Custom fields
        self.drop_rate = drop_rate
        self.qkv_bias = qkv_bias

        self.is_decoder = True
        self.is_encoder_decoder = False