from transformers import PretrainedConfig


class YConfig31(PretrainedConfig):
    model_type = "ynet31"

    def __init__(self, **kwargs):
        self.dropout = kwargs.pop("dropout", 0.0)
        self.bos_token_id = kwargs.pop("bos_token_id", 151644)
        self.eos_token_id = kwargs.pop("eos_token_id", 151645)
        self.pad_token_id = kwargs.pop("pad_token_id", 151643)
        self.hidden_act = kwargs.pop("hidden_act", "silu")
        self.hidden_size = kwargs.pop("hidden_size", 768)
        self.num_hidden_layers = kwargs.pop("num_hidden_layers", 8)
        self.max_position_embeddings = kwargs.pop("max_position_embeddings", 8192)
        self.vocab_size = kwargs.pop("vocab_size", 6400)
        self.rms_norm_eps = kwargs.pop("rms_norm_eps", 1e-6)
        self.rope_theta = kwargs.pop("rope_theta", 5e4)
        self.rope_scaling = kwargs.pop("rope_scaling", None)
        self.dtype = kwargs.pop("dtype", "float32")
        self.self_distill = kwargs.pop("self_distill", True)
        self.intermediate_size = kwargs.pop("intermediate_size", 1536)
        self.num_heads = kwargs.pop("num_heads", 12)
        self.mla_kv_lora_rank = kwargs.pop("mla_kv_lora_rank", 64)
        self.mla_qk_nope_head_dim = kwargs.pop("mla_qk_nope_head_dim", 64)
        self.mla_qk_rope_head_dim = kwargs.pop("mla_qk_rope_head_dim", 32)
        self.mla_attn_impl = kwargs.pop("mla_attn_impl", "absorb")
        self.qkv_lora = kwargs.pop("qkv_lora", False)
        self.gradient_checkpointing = kwargs.pop("gradient_checkpointing", 0)
        self.use_sengram = kwargs.pop("use_sengram", True)
        self.sengram_bucket_size = kwargs.pop("sengram_bucket_size", 4096)
        self.sengram_topk = kwargs.pop("sengram_topk", 2)
        self.engram_bucket_size = kwargs.pop("engram_bucket_size", self.sengram_bucket_size)
        self.engram_topk = kwargs.pop("engram_topk", self.sengram_topk)
        super().__init__(
            bos_token_id=self.bos_token_id,
            eos_token_id=self.eos_token_id,
            pad_token_id=self.pad_token_id,
            **kwargs,
        )