| from transformers import PretrainedConfig | |
| class AuriStreamConfig(PretrainedConfig): | |
| model_type = "AuriStream.AuriStream" | |
| def __init__( | |
| self, | |
| n_layer=96, | |
| n_head=32, | |
| n_embd=2560, | |
| vocab_size=8192, | |
| dropout=0.0, | |
| bias=False, | |
| use_rope=True, | |
| n_pred_steps=20, | |
| seq_len=4096, | |
| skip_connections=True, | |
| **kwargs | |
| ): | |
| self.n_layer = n_layer | |
| self.n_head = n_head | |
| self.n_embd = n_embd | |
| self.vocab_size = vocab_size | |
| self.dropout = dropout | |
| self.bias = bias | |
| self.use_rope = use_rope | |
| self.n_pred_steps = n_pred_steps | |
| self.seq_len = seq_len | |
| self.skip_connections = skip_connections | |
| super().__init__(**kwargs) | |