Create configuration_i3.py

configuration_i3.py

@@ -0,0 +1,24 @@
+from transformers.configuration_utils import PretrainedConfig
+
+class I3Config(PretrainedConfig):
+    model_type = "i3"
+
+    def __init__(
+        self,
+        vocab_size=50000,
+        d_model=512,
+        n_layers=12,
+        n_heads=8,
+        max_seq_len=256,
+        rank=64,
+        d_state=32,
+        **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