| # configuration_challenger.py | |
| from transformers import PretrainedConfig | |
| class ChallengerConfig(PretrainedConfig): | |
| model_type = "challenger" | |
| def __init__(self, vocab_size=100288, n_layer=16, n_head=16, n_embd=1536, **kwargs): | |
| self.vocab_size = vocab_size | |
| self.n_layer = n_layer | |
| self.n_head = n_head | |
| self.n_embd = n_embd | |
| super().__init__(**kwargs) | |