"""HebrewGPT configuration."""

from transformers import PretrainedConfig


class HebrewGPTConfig(PretrainedConfig):
    model_type = "hebrew-gpt"

    def __init__(
        self,
        vocab_size=32000,
        hidden_size=2048,
        num_hidden_layers=20,
        num_attention_heads=16,
        head_dim=128,
        intermediate_size=5504,
        max_position_embeddings=2048,
        dropout=0.0,
        rope_theta=10000.0,
        tie_word_embeddings=True,
        **kwargs,
    ):
        self.hidden_size = hidden_size
        self.num_hidden_layers = num_hidden_layers
        self.num_attention_heads = num_attention_heads
        self.head_dim = head_dim
        self.intermediate_size = intermediate_size
        self.max_position_embeddings = max_position_embeddings
        self.dropout = dropout
        self.rope_theta = rope_theta
        super().__init__(
            vocab_size=vocab_size,
            tie_word_embeddings=tie_word_embeddings,
            **kwargs,
        )