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configuration_aixk.py

@@ -0,0 +1,23 @@
+from transformers import PretrainedConfig
+
+class AIXKCustomConfig(PretrainedConfig):
+    model_type = "aixk_custom_arch"
+    def __init__(
+        self, 
+        vocab_size=250006, 
+        hidden_size=128, 
+        num_hidden_layers=3, 
+        num_attention_heads=4, 
+        intermediate_size=512, 
+        max_position_embeddings=512, 
+        eos_token_id=250004, 
+        **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
+        self.eos_token_id = eos_token_id