diff --git a/opencompass/configs/models/gemma/vllm_gemma_3_12b_it.py b/opencompass/configs/models/gemma/vllm_gemma_3_12b_it.py
index f3d2c643..2914640f 100644
--- a/opencompass/configs/models/gemma/vllm_gemma_3_12b_it.py
+++ b/opencompass/configs/models/gemma/vllm_gemma_3_12b_it.py
@@ -7,7 +7,7 @@ models = [
         path='google/gemma-3-12b-it',
         model_kwargs=dict(tensor_parallel_size=4,
                           # for long context
-                          rope_scaling={"factor": 8.0, "rope_type": "linear"}),
+                          rope_scaling={'factor': 8.0, 'rope_type': 'linear'}),
         max_out_len=4096,
         batch_size=1,
         generation_kwargs=dict(temperature=0),
diff --git a/opencompass/configs/models/gemma/vllm_gemma_3_27b_it.py b/opencompass/configs/models/gemma/vllm_gemma_3_27b_it.py
index 7eeb6275..b6f4b93b 100644
--- a/opencompass/configs/models/gemma/vllm_gemma_3_27b_it.py
+++ b/opencompass/configs/models/gemma/vllm_gemma_3_27b_it.py
@@ -7,7 +7,7 @@ models = [
         path='google/gemma-3-27b-it',
         model_kwargs=dict(tensor_parallel_size=4,
                           # for long context
-                          rope_scaling={"factor": 8.0, "rope_type": "linear"}),
+                          rope_scaling={'factor': 8.0, 'rope_type': 'linear'}),
         max_out_len=4096,
         batch_size=1,
         generation_kwargs=dict(temperature=0),
diff --git a/opencompass/configs/models/gemma/vllm_gemma_3_4b_it.py b/opencompass/configs/models/gemma/vllm_gemma_3_4b_it.py
index c6476d0c..22516ff7 100644
--- a/opencompass/configs/models/gemma/vllm_gemma_3_4b_it.py
+++ b/opencompass/configs/models/gemma/vllm_gemma_3_4b_it.py
@@ -7,7 +7,7 @@ models = [
         path='google/gemma-3-4b-it',
         model_kwargs=dict(tensor_parallel_size=2, 
                           # for long context
-                          rope_scaling={"factor": 8.0, "rope_type": "linear"}),
+                          rope_scaling={'factor': 8.0, 'rope_type': 'linear'}),
         max_seq_len=140000,
         max_out_len=4096,
         batch_size=1,