diff --git a/python/sglang/srt/server_args.py b/python/sglang/srt/server_args.py
index ffe60b33e..dba70dff2 100644
--- a/python/sglang/srt/server_args.py
+++ b/python/sglang/srt/server_args.py
@@ -124,8 +124,8 @@ class ServerArgs:
     speculative_draft_model_path: Optional[str] = None
     speculative_algorithm: Optional[str] = None
     speculative_num_steps: int = 5
-    speculative_num_draft_tokens: int = 64
     speculative_eagle_topk: int = 8
+    speculative_num_draft_tokens: int = 64
 
     # Double Sparsity
     enable_double_sparsity: bool = False
@@ -719,12 +719,6 @@ class ServerArgs:
             help="The number of steps sampled from draft model in Speculative Decoding.",
             default=ServerArgs.speculative_num_steps,
         )
-        parser.add_argument(
-            "--speculative-num-draft-tokens",
-            type=int,
-            help="The number of token sampled from draft model in Speculative Decoding.",
-            default=ServerArgs.speculative_num_draft_tokens,
-        )
         parser.add_argument(
             "--speculative-eagle-topk",
             type=int,
@@ -732,6 +726,12 @@ class ServerArgs:
             choices=[1, 2, 4, 8],
             default=ServerArgs.speculative_eagle_topk,
         )
+        parser.add_argument(
+            "--speculative-num-draft-tokens",
+            type=int,
+            help="The number of token sampled from draft model in Speculative Decoding.",
+            default=ServerArgs.speculative_num_draft_tokens,
+        )
 
         # Double Sparsity
         parser.add_argument(
diff --git a/scripts/ci_install_dependency.sh b/scripts/ci_install_dependency.sh
index d514d8633..d5c09751b 100755
--- a/scripts/ci_install_dependency.sh
+++ b/scripts/ci_install_dependency.sh
@@ -20,7 +20,7 @@ pip install flashinfer_python==0.2.1.post2 --find-links ${FLASHINFER_REPO} --for
 
 pip install torch_memory_saver --force-reinstall
 
-pip install transformers==4.45.2 sentence_transformers accelerate peft
+pip install transformers==4.45.2 sentence_transformers accelerate peft pandas datasets
 
 # For compling xgrammar kernels
 pip install cuda-python nvidia-cuda-nvrtc-cu12