| from transformers import PretrainedConfig | |
| class KairoGPTConfig(PretrainedConfig): | |
| model_type = "kairo_gpt" | |
| def __init__( | |
| self, | |
| vocab_size=32000, | |
| block_size=384, | |
| n_layer=8, | |
| n_head=8, | |
| n_embd=512, | |
| dropout=0.1, | |
| **kwargs, | |
| ): | |
| self.vocab_size = vocab_size | |
| self.block_size = block_size | |
| self.n_layer = n_layer | |
| self.n_head = n_head | |
| self.n_embd = n_embd | |
| self.dropout = dropout | |
| self.auto_map = { | |
| "AutoConfig": "configuration_kairo.KairoGPTConfig", | |
| "AutoModelForCausalLM": "modeling_kairo.KairoGPTForCausalLM", | |
| } | |
| super().__init__(**kwargs) | |