"""Quark model configuration for HuggingFace Transformers."""

from transformers import PretrainedConfig


class QuarkConfig(PretrainedConfig):
    model_type = "quark"

    def __init__(
        self,
        vocab_size=65537,
        d_model=576,
        n_heads=9,
        n_kv_heads=3,
        n_layers=30,
        d_ff=1536,
        head_dim=64,
        max_seq_len=2048,
        rope_theta=10000.0,
        rms_eps=1e-5,
        qkv_bias=True,
        dropout=0.0,
        **kwargs,
    ):
        self.vocab_size = vocab_size
        self.d_model = d_model
        self.n_heads = n_heads
        self.n_kv_heads = n_kv_heads
        self.n_layers = n_layers
        self.d_ff = d_ff
        self.head_dim = head_dim
        self.max_seq_len = max_seq_len
        self.rope_theta = rope_theta
        self.rms_eps = rms_eps
        self.qkv_bias = qkv_bias
        self.dropout = dropout
        super().__init__(**kwargs)