from dataclasses import dataclass
import yaml
from pathlib import Path

@dataclass
class TinyConfig:
    vocab_size: int = 32000
    hidden_size: int = 576
    num_hidden_layers: int = 16
    num_attention_heads: int = 9
    num_key_value_heads: int = 3
    intermediate_size: int = 1536
    max_position_embeddings: int = 1024
    rope_theta: float = 10000.0
    rms_norm_eps: float = 1e-5
    tie_word_embeddings: bool = True
    attention_bias: bool = False
    mlp_bias: bool = False
    dropout: float = 0.0
    bos_token_id: int = 1
    eos_token_id: int = 2

    @classmethod
    def from_yaml(cls, path):
        data = yaml.safe_load(Path(path).read_text())
        if 'model' in data:
            data = data['model']
        return cls(**data)

def load_yaml(path):
    return yaml.safe_load(Path(path).read_text())