| from transformers import PretrainedConfig | |
| class GPTConfig(PretrainedConfig): | |
| model_type = "ConnectomeGPT100M.GPT" | |
| def __init__( | |
| self, | |
| block_size=1024, | |
| vocab_size=50304, | |
| n_layer=12, | |
| n_head=12, | |
| n_embd=768, | |
| dropout=0.0, | |
| bias=False, | |
| pos_init=None, | |
| **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 | |
| self.pos_init = pos_init | |
| super().__init__(**kwargs) | |