SlitherCode/tiny-edu-166m

1from transformers import PretrainedConfig2 3 4class ParchmentConfig(PretrainedConfig):5    model_type = "parchment"6 7    def __init__(8        self,9        vocab_size: int = 100277,10        d_model: int = 768,11        n_heads: int = 12,12        n_layers: int = 12,13        max_seq_len: int = 1024,14        rms_norm_eps: float = 1e-6,15        rope_base: float = 10000.0,16        tie_word_embeddings: bool = True,17        **kwargs,18    ):19        self.vocab_size = vocab_size20        self.d_model = d_model21        self.n_heads = n_heads22        self.n_layers = n_layers23        self.max_seq_len = max_seq_len24        self.rms_norm_eps = rms_norm_eps25        self.rope_base = rope_base26        # aliases expected by transformers internals27        self.num_hidden_layers = n_layers28        self.hidden_size = d_model29        self.num_attention_heads = n_heads30        super().__init__(tie_word_embeddings=tie_word_embeddings, **kwargs)31