diff --git a/custom_ops/xpu_ops/src/ops/moe_expert_ffn.cc b/custom_ops/xpu_ops/src/ops/moe_expert_ffn.cc
index 7916f38a9..98e0e6648 100644
--- a/custom_ops/xpu_ops/src/ops/moe_expert_ffn.cc
+++ b/custom_ops/xpu_ops/src/ops/moe_expert_ffn.cc
@@ -72,6 +72,7 @@ void MoeExpertFFNImpl(xftblock::Tensor* ffn_in,
       is_padding_input ? token_num_info : nullptr,
       expert_num,
       1,  // moe_topk
+      0, // group_size
       ffn1_out_shape.size() == 2 ? xftblock::MoeFCInputMode::DENSE
                                  : xftblock::MoeFCInputMode::SPARSE);
   PD_CHECK(ret == 0);
@@ -134,6 +135,7 @@ void MoeExpertFFNImpl(xftblock::Tensor* ffn_in,
       is_padding_input ? token_num_info : nullptr,
       expert_num,
       1,  // moe_topk
+      0,  // group_size
       ffn1_out_shape.size() == 2
           ? xftblock::MoeFCInputMode::DENSE
           : xftblock::MoeFCInputMode::SPARSE);  // bias_mode
diff --git a/fastdeploy/engine/args_utils.py b/fastdeploy/engine/args_utils.py
index e77e4388a..f1367b1ae 100644
--- a/fastdeploy/engine/args_utils.py
+++ b/fastdeploy/engine/args_utils.py
@@ -424,7 +424,7 @@ class EngineArgs:
             envs.ENABLE_V1_KVCACHE_SCHEDULER = 0
         if self.splitwise_role != "mixed" and self.cache_transfer_protocol != "rdma":
             envs.ENABLE_V1_KVCACHE_SCHEDULER = 0
-        if not current_platform.is_cuda():
+        if not current_platform.is_cuda() and not current_platform.is_xpu():
             envs.ENABLE_V1_KVCACHE_SCHEDULER = 0
         if self.guided_decoding_backend != "off":
             envs.ENABLE_V1_KVCACHE_SCHEDULER = 0
diff --git a/fastdeploy/worker/worker_process.py b/fastdeploy/worker/worker_process.py
index 44d3e0150..193970d0f 100644
--- a/fastdeploy/worker/worker_process.py
+++ b/fastdeploy/worker/worker_process.py
@@ -778,7 +778,7 @@ def initialize_fd_config(args, ranks: int = 1, local_rank: int = 0) -> FDConfig:
         envs.ENABLE_V1_KVCACHE_SCHEDULER = 0
     if args.splitwise_role != "mixed" and args.cache_transfer_protocol != "rdma":
         envs.ENABLE_V1_KVCACHE_SCHEDULER = 0
-    if not current_platform.is_cuda():
+    if not current_platform.is_cuda() and not current_platform.is_xpu():
         logger.info("Set ENABLE_V1_KVCACHE_SCHEDULER to 0 due to not supported.")
         envs.ENABLE_V1_KVCACHE_SCHEDULER = 0
     if parallel_config.guided_decoding_backend != "off":
diff --git a/scripts/run_ci_xpu.sh b/scripts/run_ci_xpu.sh
index 597fa3480..870b463d9 100644
--- a/scripts/run_ci_xpu.sh
+++ b/scripts/run_ci_xpu.sh
@@ -24,10 +24,7 @@ python -m pip install paddlepaddle-xpu -i https://www.paddlepaddle.org.cn/packag
 echo "build whl"
 bash custom_ops/xpu_ops/download_dependencies.sh develop
 export CLANG_PATH=$(pwd)/custom_ops/xpu_ops/third_party/xtdk
-# export XVLLM_PATH=$(pwd)/custom_ops/xpu_ops/third_party/xvllm
-# 由于xvllm更新导致编译报错暂时锁定xvllm版本
-wget https://klx-sdk-release-public.su.bcebos.com/xinfer/daily/eb/20250921/output.tar.gz --no-proxy && tar xf output.tar.gz && mv output xvllm
-export XVLLM_PATH=${PWD}/xvllm
+export XVLLM_PATH=$(pwd)/custom_ops/xpu_ops/third_party/xvllm
 bash build.sh || exit 1
 
 echo "pip others"