diff --git a/lmdeploy/turbomind/deploy/source_model/llama.py b/lmdeploy/turbomind/deploy/source_model/llama.py
index b683168054..c62dbb5061 100644
--- a/lmdeploy/turbomind/deploy/source_model/llama.py
+++ b/lmdeploy/turbomind/deploy/source_model/llama.py
@@ -214,6 +214,7 @@ def model_info(self):
                 model_arg.get('max_position_embeddings', 0))
             rope_scaling = model_arg.get('rope_scaling', None)
             scaling_factor = 0.0
+            rotary_embedding = hidden_units // attn_head_num
             use_dynamic_ntk = 0
             scaling_type = ''
             low_freq_factor = 1.0
@@ -231,6 +232,11 @@ def model_info(self):
                 scaling_type = llama2_scaling_type if llama2_scaling_type \
                     else llama3_scaling_type
                 scaling_factor = rope_scaling.get('factor', 0.0)
+                if 'partial_rotary_factor' in rope_scaling:
+                    partial_rotary_factor = float(
+                        rope_scaling.get('partial_rotary_factor'))
+                    rotary_embedding = int(
+                        rotary_embedding * partial_rotary_factor)
                 if scaling_type == 'dynamic':
                     use_dynamic_ntk = 1
                 elif scaling_type == 'llama3':
@@ -260,6 +266,7 @@ def model_info(self):
             use_dynamic_ntk=use_dynamic_ntk,
             rope_scaling_type=scaling_type,
             rope_scaling_factor=scaling_factor,
+            rotary_embedding=rotary_embedding,
             low_freq_factor=low_freq_factor,
             high_freq_factor=high_freq_factor,
             attention_factor=attention_factor,