model/configuration_core.py

"""Configuration for the CORe architecture."""

from transformers import PretrainedConfig


class COReConfig(PretrainedConfig):
    model_type = "core"

    def __init__(
        self,
        vocab_size=8192,
        n_layer=8,
        n_head=8,
        n_embd=512,
        block_size=512,
        dropout=0.0,
        rope=False,
        rope_base=10000.0,
        **kwargs,
    ):
        super().__init__(**kwargs)
        self.vocab_size = vocab_size
        self.n_layer = n_layer
        self.n_head = n_head
        self.n_embd = n_embd
        self.block_size = block_size
        self.dropout = dropout
        self.rope = rope
        self.rope_base = rope_base
        # transformers >= 5.x generation cache expects the standard names.
        self.num_hidden_layers = n_layer
        self.num_attention_heads = n_head
        self.hidden_size = n_embd