from transformers import PretrainedConfig

class AIXKCustomConfig(PretrainedConfig):
    model_type = "aixk_custom_arch"
    def __init__(
        self, 
        vocab_size=250006, 
        hidden_size=128, 
        num_hidden_layers=3, 
        num_attention_heads=4, 
        intermediate_size=512, 
        max_position_embeddings=512, 
        eos_token_id=250004, 
        **kwargs
    ):
        super().__init__(**kwargs)
        self.vocab_size = vocab_size
        self.hidden_size = hidden_size
        self.num_hidden_layers = num_hidden_layers
        self.num_attention_heads = num_attention_heads
        self.intermediate_size = intermediate_size
        self.max_position_embeddings = max_position_embeddings
        self.eos_token_id = eos_token_id