| from transformers import PretrainedConfig | |
| class LingLongConfig(PretrainedConfig): | |
| model_type = 'linglong' | |
| def __init__( | |
| self, | |
| vocab_size: int = 13312, | |
| n_position: int = 1024, | |
| n_embd: int = 1024, | |
| n_layer: int = 24, | |
| n_head: int = 16, | |
| n_inner: int | None = None, | |
| activation_function: str = 'gelu_new', | |
| resid_pdrop: float = 0.1, | |
| embd_pdrop: float = 0.1, | |
| attn_pdrop: float = 0.1, | |
| layer_norm_epsilon: float = 1e-8, | |
| initializer_range: float = 0.02, | |
| scale_attn_weights: bool = True, | |
| use_cache: bool = True, | |
| bos_token_id: int = 10, | |
| eos_token_id: int = 8, | |
| pad_token_id: int = 0, | |
| scale_attn_by_inverse_layer_idx: bool = False, | |
| reorder_and_upcast_attn: bool = False, | |
| attn_mode: str = 'sparse', | |
| attn_stride: int | None = 128, | |
| attn_c: int | None = 8, | |
| use_pinyin: bool = False, | |
| backward: bool = False, | |
| **kwargs, | |
| ): | |
| self.vocab_size = vocab_size | |
| self.n_position = n_position | |
| self.n_embd = n_embd | |
| self.n_layer = n_layer | |
| self.n_head = n_head | |
| self.n_inner = n_inner | |
| self.activation_function = activation_function | |
| self.resid_pdrop = resid_pdrop | |
| self.embd_pdrop = embd_pdrop | |
| self.attn_pdrop = attn_pdrop | |
| self.layer_norm_epsilon = layer_norm_epsilon | |
| self.initializer_range = initializer_range | |
| self.scale_attn_weights = scale_attn_weights | |
| self.use_cache = use_cache | |
| self.scale_attn_by_inverse_layer_idx = scale_attn_by_inverse_layer_idx | |
| self.reorder_and_upcast_attn = reorder_and_upcast_attn | |
| self.attn_mode = attn_mode | |
| self.attn_stride = attn_stride | |
| self.attn_c = attn_c | |
| self.use_pinyin = use_pinyin | |
| self.backward = backward | |
| self.bos_token_id = bos_token_id | |
| self.eos_token_id = eos_token_id | |
| self.pad_token_id = pad_token_id | |
| super().__init__( | |
| bos_token_id=bos_token_id, | |
| eos_token_id=eos_token_id, | |
| pad_token_id=pad_token_id, | |
| **kwargs, | |
| ) | |