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# configuration_i3.py
from transformers import PretrainedConfig
class I3Config(PretrainedConfig):
model_type = "i3" # unique name for your model
def __init__(
self,
vocab_size=4466,
d_model=512,
n_layers=12,
n_heads=16,
max_seq_len=256,
rank=128,
d_state=64,
**kwargs,
):
super().__init__(**kwargs)
self.vocab_size = vocab_size
self.d_model = d_model
self.n_layers = n_layers
self.n_heads = n_heads
self.max_seq_len = max_seq_len
self.rank = rank
self.d_state = d_state
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