Create custom_bitnet.py

custom_bitnet.py

@@ -0,0 +1,14 @@
+from transformers import PreTrainedModel
+from transformers.models.bitnet.configuration_bitnet import BitNetConfig
+
+class BitNetForCausalLM(PreTrainedModel):
+    config_class = BitNetConfig
+
+    def __init__(self, config):
+        super().__init__(config)
+        # Placeholder: Copy implementation from fork's modeling_bitnet.py
+        raise NotImplementedError("Replace with actual BitNetForCausalLM implementation")
+
+    def forward(self, *args, **kwargs):
+        # Placeholder: Copy forward pass from fork
+        raise NotImplementedError("Replace with actual forward pass implementation")