| from transformers import PretrainedConfig | |
| from typing import Optional | |
| import math | |
| class PhiConfig(PretrainedConfig): | |
| model_type = "phi-msft" | |
| def __init__( | |
| self, | |
| vocab_size: int = 51200, | |
| n_positions: int = 2048, | |
| n_embd: int = 2048, | |
| n_layer: int = 24, | |
| n_inner: Optional[int] = None, | |
| n_head: int = 32, | |
| n_head_kv: Optional[int] = None, | |
| rotary_dim: Optional[int] = 32, | |
| activation_function: Optional[str] = "gelu_new", | |
| flash_attn: bool = False, | |
| flash_rotary: bool = False, | |
| fused_dense: bool = False, | |
| attn_pdrop: float = 0.0, | |
| embd_pdrop: float = 0.0, | |
| resid_pdrop: float = 0.0, | |
| layer_norm_epsilon: float = 1e-5, | |
| initializer_range: float = 0.02, | |
| tie_word_embeddings: bool = False, | |
| pad_vocab_size_multiple: int = 64, | |
| gradient_checkpointing: bool = False, | |
| **kwargs | |
| ): | |
| pad_vocab_size = ( | |
| math.ceil(vocab_size / pad_vocab_size_multiple) * pad_vocab_size_multiple | |
| ) | |
| super().__init__( | |
| vocab_size=pad_vocab_size, | |
| n_positions=n_positions, | |
| n_embd=n_embd, | |
| n_layer=n_layer, | |
| n_inner=n_inner, | |
| n_head=n_head, | |
| n_head_kv=n_head_kv, | |
| activation_function=activation_function, | |
| attn_pdrop=attn_pdrop, | |
| embd_pdrop=embd_pdrop, | |
| resid_pdrop=resid_pdrop, | |
| layer_norm_epsilon=layer_norm_epsilon, | |
| initializer_range=initializer_range, | |
| pad_vocab_size_multiple=pad_vocab_size_multiple, | |
| tie_word_embeddings=tie_word_embeddings, | |
| gradient_checkpointing=gradient_checkpointing, | |
| **kwargs | |
| ) | |
| self.rotary_dim = min(rotary_dim, n_embd // n_head) | |
| self.flash_attn = flash_attn | |
| self.flash_rotary = flash_rotary | |
| self.fused_dense = fused_dense | |
| attribute_map = { | |
| "max_position_embeddings": "n_positions", | |
| "hidden_size": "n_embd", | |
| "num_attention_heads": "n_head", | |
| "num_hidden_layers": "n_layer", | |
| } | |
| class MoondreamConfig(PretrainedConfig): | |
| model_type = "moondream1" | |
| def __init__(self, **kwargs): | |
| self.phi_config = PhiConfig(**kwargs) | |
| super().__init__(**kwargs) | |