diff --git a/vllm-v0.6.2/vllm/model_executor/models/transformers/base.py b/vllm-v0.6.2/vllm/model_executor/models/transformers/base.py
index 4812a90..63765d0 100644
--- a/vllm-v0.6.2/vllm/model_executor/models/transformers/base.py
+++ b/vllm-v0.6.2/vllm/model_executor/models/transformers/base.py
@@ -248,6 +248,21 @@ class Base(nn.Module):
         # Set attention implementation to vLLM's
         self.text_config._attn_implementation = "vllm"
         
+        # Ensure head_dim is correctly set in config
+        # Some models may have incorrect head_dim, so we compute and set it
+        if hasattr(self.text_config, "num_attention_heads") and hasattr(self.text_config, "hidden_size"):
+            correct_head_dim = self.text_config.hidden_size // self.text_config.num_attention_heads
+            if hasattr(self.text_config, "head_dim"):
+                if self.text_config.head_dim != correct_head_dim:
+                    logger.warning(
+                        "Correcting head_dim in config: %d -> %d",
+                        self.text_config.head_dim, correct_head_dim
+                    )
+                    self.text_config.head_dim = correct_head_dim
+            else:
+                # Set head_dim if not present, some models need it
+                self.text_config.head_dim = correct_head_dim
+        
         with init_on_device_without_buffers("meta"):
             self.model: "PreTrainedModel" = AutoModel.from_config(
                 self.config,