| """Wind Edge configuration.""" | |
| from transformers.configuration_utils import PretrainedConfig | |
| class WindEdgeConfig(PretrainedConfig): | |
| model_type = "wind_edge" | |
| keys_to_ignore_at_inference = ["past_key_values"] | |
| def __init__( | |
| self, | |
| vocab_size: int = 151936, | |
| hidden_size: int = 1024, | |
| intermediate_size: int = 3072, | |
| num_hidden_layers: int = 28, | |
| num_attention_heads: int = 16, | |
| num_key_value_heads: int = 8, | |
| head_dim: int = 128, | |
| hidden_act: str = "silu", | |
| max_position_embeddings: int = 32768, | |
| initializer_range: float = 0.02, | |
| rms_norm_eps: float = 1e-6, | |
| use_cache: bool = True, | |
| tie_word_embeddings: bool = True, | |
| rope_theta: float = 1_000_000.0, | |
| attention_dropout: float = 0.0, | |
| attention_bias: bool = False, | |
| pad_token_id: int | None = None, | |
| bos_token_id: int = 151643, | |
| eos_token_id: int = 151643, | |
| **kwargs, | |
| ): | |
| self.vocab_size = vocab_size | |
| self.hidden_size = hidden_size | |
| self.intermediate_size = intermediate_size | |
| self.num_hidden_layers = num_hidden_layers | |
| self.num_attention_heads = num_attention_heads | |
| self.num_key_value_heads = num_key_value_heads | |
| self.head_dim = head_dim | |
| self.hidden_act = hidden_act | |
| self.max_position_embeddings = max_position_embeddings | |
| self.initializer_range = initializer_range | |
| self.rms_norm_eps = rms_norm_eps | |
| self.use_cache = use_cache | |
| self.rope_theta = rope_theta | |
| self.attention_dropout = attention_dropout | |
| self.attention_bias = attention_bias | |
| super().__init__( | |
| pad_token_id=pad_token_id, | |
| bos_token_id=bos_token_id, | |
| eos_token_id=eos_token_id, | |
| tie_word_embeddings=tie_word_embeddings, | |
| **kwargs, | |
| ) | |