configuration_limon.py

from transformers import PretrainedConfig

class LimonConfig(PretrainedConfig):
    model_type = "limon"
    def __init__(
        self,
        vocab_size=8000,
        hidden_size=384,
        num_heads=6,
        intermediate_size=1024,
        max_position_embeddings=256,
        integration_steps=6,
        anchor_strength=0.1,
        pad_token_id=0,
        bos_token_id=1,
        eos_token_id=2,
        **kwargs
    ):
        super().__init__(
            pad_token_id=pad_token_id,
            bos_token_id=bos_token_id,
            eos_token_id=eos_token_id,
            **kwargs
        )
        self.vocab_size = vocab_size
        self.hidden_size = hidden_size
        self.num_heads = num_heads
        self.intermediate_size = intermediate_size
        self.max_position_embeddings = max_position_embeddings
        self.integration_steps = integration_steps
        self.anchor_strength = anchor_strength