configuration_ss4m.py

from transformers import PretrainedConfig

class SimpleStories4MConfig(PretrainedConfig):
    model_type = "simple_stories_4m"
    
    def __init__(
        self, 
        vocab_size: int = 2048,
        block_size: int = 1080,
        n_embed: int = 256,
        n_heads: int = 2,
        n_layers: int = 4,
        dropout: float = 0.1,
        **kwargs
    ):
        self.vocab_size = vocab_size
        self.block_size = block_size
        self.n_embed = n_embed
        self.n_heads = n_heads
        self.n_layers = n_layers
        self.dropout = dropout
        super().__init__(**kwargs)