Add modeling_custom.py

modeling_custom.py

@@ -8,5 +8,10 @@ logger = logging.get_logger(__name__)
 class CustomLlamaForCausalLM(LlamaForCausalLM):
     def __init__(self, config: LlamaConfig):
         super().__init__(config)
-        logger.info("CustomLlamaForCausalLM initialized.")
+        logger.info("CustomLlamaForCausalLM initialized with conceptual features documented in config.")
+        if getattr(config, 'conceptual_features', {}).get('grouping_logic'):
+             logger.info(f"Conceptual grouping logic enabled with size {config.conceptual_features.get('group_size', 'N/A')}")
+        if getattr(config, 'conceptual_features', {}).get('long_context_optimization'):
+             logger.info("Conceptual long context optimization hint detected.")
+