PhysiQuanty/Binary-LLM-POC

1from transformers import PretrainedConfig2 3 4class BinaryLLMConfig(PretrainedConfig):5    model_type = "binaryllm"6 7    def __init__(8        self,9        vocab_size: int = 4,10        hidden_size: int = 384,11        num_hidden_layers: int = 6,12        num_attention_heads: int = 6,13        intermediate_size: int = 1536,14        max_position_embeddings: int = 4096,15        dropout: float = 0.1,16        activation: str = "gelu",17        **kwargs,18    ):19        self.vocab_size = int(vocab_size)20        self.hidden_size = int(hidden_size)21        self.num_hidden_layers = int(num_hidden_layers)22        self.num_attention_heads = int(num_attention_heads)23        self.intermediate_size = int(intermediate_size)24        self.max_position_embeddings = int(max_position_embeddings)25        self.dropout = float(dropout)26        self.activation = str(activation)27        super().__init__(**kwargs)28