diff --git a/.github/workflows/format_pr_body.yaml b/.github/workflows/format_pr_body.yaml
index 407ce228ab..8b0661a9bf 100644
--- a/.github/workflows/format_pr_body.yaml
+++ b/.github/workflows/format_pr_body.yaml
@@ -36,7 +36,7 @@ jobs:
 
       - name: Get vLLM version
         run: |
-          VLLM_COMMIT=6d8246aaffff3ebec84767e373212a7b8da328e2
+          VLLM_COMMIT=c60e6137f0bf2034853919b3a9d705d7e06b93cf
           echo "VLLM_COMMIT=https://github.com/vllm-project/vllm/commit/$VLLM_COMMIT" >> $GITHUB_ENV
 
       - name: Checkout repository
diff --git a/.github/workflows/vllm_ascend_test.yaml b/.github/workflows/vllm_ascend_test.yaml
index 7ffff02bea..c406907ebd 100644
--- a/.github/workflows/vllm_ascend_test.yaml
+++ b/.github/workflows/vllm_ascend_test.yaml
@@ -82,7 +82,7 @@ jobs:
         VLLM_USE_MODELSCOPE: True
     strategy:
       matrix:
-        vllm_version: [6d8246aaffff3ebec84767e373212a7b8da328e2, v0.10.2]
+        vllm_version: [c60e6137f0bf2034853919b3a9d705d7e06b93cf, v0.10.2]
     steps:
       - name: Install packages
         run: |
@@ -140,7 +140,7 @@ jobs:
       max-parallel: 2
       matrix:
         os: [linux-aarch64-a2-1]
-        vllm_version: [6d8246aaffff3ebec84767e373212a7b8da328e2, v0.10.2]
+        vllm_version: [c60e6137f0bf2034853919b3a9d705d7e06b93cf, v0.10.2]
     name: singlecard e2e test - light
     runs-on: ${{ matrix.os }}
     container:
@@ -206,7 +206,7 @@ jobs:
       max-parallel: 2
       matrix:
         os: [linux-aarch64-a2-2]
-        vllm_version: [6d8246aaffff3ebec84767e373212a7b8da328e2, v0.10.2]
+        vllm_version: [c60e6137f0bf2034853919b3a9d705d7e06b93cf, v0.10.2]
     name: multicard e2e test - light
     runs-on: ${{ matrix.os }}
     container:
diff --git a/.github/workflows/vllm_ascend_test_full.yaml b/.github/workflows/vllm_ascend_test_full.yaml
index ab9992f43d..0c389a58a1 100644
--- a/.github/workflows/vllm_ascend_test_full.yaml
+++ b/.github/workflows/vllm_ascend_test_full.yaml
@@ -72,7 +72,7 @@ jobs:
       max-parallel: 2
       matrix:
         os: [linux-aarch64-a2-1]
-        vllm_version: [6d8246aaffff3ebec84767e373212a7b8da328e2, v0.10.2]
+        vllm_version: [c60e6137f0bf2034853919b3a9d705d7e06b93cf, v0.10.2]
     name: singlecard e2e test - full
     runs-on: ${{ matrix.os }}
     container:
@@ -156,7 +156,7 @@ jobs:
       max-parallel: 2
       matrix:
         os: [linux-aarch64-a2-2]
-        vllm_version: [6d8246aaffff3ebec84767e373212a7b8da328e2, v0.10.2]
+        vllm_version: [c60e6137f0bf2034853919b3a9d705d7e06b93cf, v0.10.2]
     name: multicard e2e test - full
     runs-on: ${{ matrix.os }}
     container:
diff --git a/tests/e2e/conftest.py b/tests/e2e/conftest.py
index 430153ae9d..d0f1b762f9 100644
--- a/tests/e2e/conftest.py
+++ b/tests/e2e/conftest.py
@@ -32,7 +32,14 @@
                           BatchEncoding, BatchFeature)
 from transformers.models.auto.auto_factory import _BaseAutoModelClass
 from vllm import LLM, SamplingParams
-from vllm.config import TaskOption, _get_and_verify_dtype
+
+from vllm_ascend.utils import vllm_version_is
+
+if vllm_version_is("0.10.2"):
+    from vllm.config import TaskOption, _get_and_verify_dtype
+else:
+    from vllm.config.model import TaskOption, _get_and_verify_dtype
+
 from vllm.inputs import TextPrompt
 from vllm.outputs import RequestOutput
 from vllm.transformers_utils.utils import maybe_model_redirect
diff --git a/vllm_ascend/sample/sampler.py b/vllm_ascend/sample/sampler.py
index e009e4cd56..6a5c130ffe 100644
--- a/vllm_ascend/sample/sampler.py
+++ b/vllm_ascend/sample/sampler.py
@@ -1,12 +1,15 @@
 import torch
 import torch_npu
-from vllm.config import LogprobsMode
 from vllm.v1.sample.ops.topk_topp_sampler import TopKTopPSampler, random_sample
 from vllm.v1.sample.sampler import Sampler
 
-from vllm_ascend.utils import is_310p
+from vllm_ascend.utils import is_310p, vllm_version_is
 
-DEFAULT_LOGPROBS_MODE = LogprobsMode.RAW_LOGPROBS
+if vllm_version_is("0.10.2"):
+    from vllm.config import LogprobsMode
+    DEFAULT_LOGPROBS_MODE = LogprobsMode.RAW_LOGPROBS
+else:
+    DEFAULT_LOGPROBS_MODE = "raw_logprobs"
 
 
 class AscendSampler(Sampler):
@@ -65,10 +68,18 @@ def forward_native(self, logits, generators, k, p):
         """Override pytorch native implementation to torch_npu"""
         logits = self._apply_top_k_top_p(logits, k, p)
         logits_to_return = None
-        if self.logprobs_mode == LogprobsMode.PROCESSED_LOGITS:
-            logits_to_return = logits
-        elif self.logprobs_mode == LogprobsMode.PROCESSED_LOGPROBS:
-            logits_to_return = logits.log_softmax(dim=-1, dtype=torch.float32)
+        if vllm_version_is("0.10.2"):
+            if self.logprobs_mode == LogprobsMode.PROCESSED_LOGITS:
+                logits_to_return = logits
+            elif self.logprobs_mode == LogprobsMode.PROCESSED_LOGPROBS:
+                logits_to_return = logits.log_softmax(dim=-1,
+                                                      dtype=torch.float32)
+        else:
+            if self.logprobs_mode == "processed_logits":
+                logits_to_return = logits
+            elif self.logprobs_mode == "processed_logprobs":
+                logits_to_return = logits.log_softmax(dim=-1,
+                                                      dtype=torch.float32)
 
         probs = logits.softmax(dim=-1, dtype=torch.float32)
         return random_sample(probs, generators), logits_to_return