from typing import Optional, List, Any, Dict
from transformers.configuration_utils import PretrainedConfig



class Step1Config(PretrainedConfig):
    model_type = "step1"
    keys_to_ignore_at_inference = ["past_key_values"]
    
    def __init__(
        self,
        hidden_size: int = 5120,
        intermediate_size: int = 13312,
        num_attention_heads: int = 40,
        num_attention_groups: int = 8,
        num_hidden_layers: int = 48,
        max_seq_len: int = 4096,
        vocab_size: int = 65536,
        rms_norm_eps: float = 1e-5,
        bos_token_id: int = 1,
        eos_token_id: int = 3,
        pad_token_id: int = 0,
        **kwargs,
    ) -> None:
        self.hidden_size = hidden_size
        self.intermediate_size = intermediate_size
        self.num_attention_heads = num_attention_heads
        self.num_attention_groups = num_attention_groups
        self.num_hidden_layers = num_hidden_layers
        self.max_seq_len = max_seq_len
        self.vocab_size = vocab_size
        self.rms_norm_eps = rms_norm_eps
        super().__init__(
            bos_token_id=bos_token_id,
            pad_token_id=pad_token_id,
            eos_token_id=eos_token_id,
            **kwargs
        )


__all__ = ["Step1Config"]