| from transformers import PretrainedConfig | |
| from typing import List | |
| class MGPTConfig(PretrainedConfig): | |
| model_type = "mgpt" | |
| def __init__( | |
| self, | |
| block_size: int = 1024, | |
| vocab_size: int = 12000, | |
| n_layer: int = 12, | |
| n_head: int = 8, | |
| n_embd: int = 512, | |
| dropout: float = 0.1, | |
| bias: bool = False, | |
| **kwargs, | |
| ): | |
| self.block_size = block_size | |
| self.vocab_size = vocab_size | |
| self.n_layer = n_layer | |
| self.n_head = n_head | |
| self.n_embd = n_embd | |
| self.dropout = dropout | |
| self.bias = bias | |
| super().__init__(**kwargs) | |