"""TinyMind configuration."""
from transformers import PretrainedConfig


class TinyMindConfig(PretrainedConfig):
    model_type = "tiny_smart_llm"

    def __init__(self, vocab_size=50257, n_embd=256, n_heads=8, n_layers=6, max_seq_len=512, dropout=0.1, **kwargs):
        self.vocab_size = vocab_size
        self.n_embd = n_embd
        self.n_heads = n_heads
        self.n_layers = n_layers
        self.num_hidden_layers = n_layers
        self.hidden_size = n_embd
        self.num_attention_heads = n_heads
        self.max_seq_len = max_seq_len
        self.max_position_embeddings = max_seq_len
        self.dropout = dropout
        super().__init__(**kwargs)