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