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from transformers.configuration_utils import PretrainedConfig
class Phi3Config(PretrainedConfig):
model_type = "phi3"
def __init__(self,
vocab_size=32064,
hidden_size=3072,
num_hidden_layers=32,
num_attention_heads=32,
intermediate_size=8192,
max_position_embeddings=4096,
**kwargs):
super().__init__(**kwargs)
self.vocab_size = vocab_size
self.hidden_size = hidden_size
self.num_hidden_layers = num_hidden_layers
self.num_attention_heads = num_attention_heads
self.intermediate_size = intermediate_size
self.max_position_embeddings = max_position_embeddings
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