| """ | |
| Hugging Face config class for MINDI 1.0 420M. | |
| """ | |
| from transformers import PretrainedConfig | |
| class MindiConfig(PretrainedConfig): | |
| model_type = "mindi" | |
| def __init__( | |
| self, | |
| vocab_size=50000, | |
| max_seq_len=2048, | |
| d_model=1152, | |
| n_layers=23, | |
| n_heads=16, | |
| d_ff=4608, | |
| dropout=0.1, | |
| tie_embeddings=True, | |
| init_std=0.02, | |
| rms_norm_eps=1e-5, | |
| bos_token_id=2, | |
| eos_token_id=3, | |
| pad_token_id=0, | |
| **kwargs, | |
| ): | |
| super().__init__(bos_token_id=bos_token_id, eos_token_id=eos_token_id, pad_token_id=pad_token_id, **kwargs) | |
| self.vocab_size = vocab_size | |
| self.max_seq_len = max_seq_len | |
| self.d_model = d_model | |
| self.n_layers = n_layers | |
| self.n_heads = n_heads | |
| self.d_ff = d_ff | |
| self.dropout = dropout | |
| self.tie_embeddings = tie_embeddings | |
| self.init_std = init_std | |
| self.rms_norm_eps = rms_norm_eps | |