from typing import Literal from transformers import PretrainedConfig class CogVLMConfig(PretrainedConfig): _auto_class = "AutoConfig" def __init__( self, vocab_size=128256, hidden_size=4096, intermediate_size=14336, num_hidden_layers=32, num_attention_heads=32, num_multi_query_heads=8, hidden_act='silu', max_position_embeddings=8192, initializer_range=0.02, rms_norm_eps=1e-05, template_version: Literal["base", "chat"] = "chat", bos_token_id=128000, eos_token_id=128001, tie_word_embeddings=False, use_cache=True, **kwargs, ): self.hidden_size = hidden_size self.intermediate_size = intermediate_size self.num_attention_heads = num_attention_heads self.num_multi_query_heads = num_multi_query_heads self.max_position_embeddings = max_position_embeddings self.rms_norm_eps = rms_norm_eps self.initializer_range = initializer_range self.vocab_size = vocab_size self.num_hidden_layers = num_hidden_layers self.hidden_act = hidden_act self.template_version = template_version self.use_cache = use_cache super().__init__( bos_token_id=bos_token_id, eos_token_id=eos_token_id, tie_word_embeddings=tie_word_embeddings, **kwargs, )