from transformers import PretrainedConfig

class GPTConfig(PretrainedConfig):

    model_type = "ozan_llm"

    # Hugging Face'te model kendi koduyla birlikte yuklenebilsin diye:
    # config.json'a yazilir, kullanici trust_remote_code=True ile yukler.
    auto_map = {
        "AutoConfig": "configuration_ozanllm.GPTConfig",
        "AutoModel": "model.OzanForCausalLM",
        "AutoModelForCausalLM": "model.OzanForCausalLM",
    }

    def __init__(
        self,
        vocab_size=10000,
        n_layers=6,
        max_seq_len=512,
        embed_dim=256,
        use_cache=False,
        **kwargs
    ):
        super().__init__(**kwargs)

        self.use_cache = use_cache
        self.vocab_size = vocab_size
        self.n_layers = n_layers
        self.max_seq_len = max_seq_len
        self.embed_dim = embed_dim