diff --git a/src/lighteval/models/vllm/vllm_model.py b/src/lighteval/models/vllm/vllm_model.py
index 40352b4da..e539b926f 100644
--- a/src/lighteval/models/vllm/vllm_model.py
+++ b/src/lighteval/models/vllm/vllm_model.py
@@ -204,7 +204,7 @@ def _create_auto_tokenizer(self, config: VLLMModelConfig):
             config.model_name,
             tokenizer_mode="auto",
             trust_remote_code=config.trust_remote_code,
-            tokenizer_revision=config.revision,
+            revision=config.revision,
         )
         tokenizer.pad_token = tokenizer.eos_token
         return tokenizer
diff --git a/tests/models/vllm/test_vllm_model.py b/tests/models/vllm/test_vllm_model.py
new file mode 100644
index 000000000..986f41cb9
--- /dev/null
+++ b/tests/models/vllm/test_vllm_model.py
@@ -0,0 +1,40 @@
+# MIT License
+
+# Copyright (c) 2025 The HuggingFace Team
+
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+
+import unittest
+
+from transformers import AutoTokenizer
+
+from lighteval.models.vllm.vllm_model import VLLMModel, VLLMModelConfig
+
+
+class TestVLLMTokenizerCreation(unittest.TestCase):
+    def test_tokenizer_created_with_correct_revision(self):
+        config = VLLMModelConfig(
+            model_name="lighteval/different-chat-templates-per-revision", revision="new_chat_template"
+        )
+        vllm_tokenizer = VLLMModel.__new__(VLLMModel)._create_auto_tokenizer(config)
+        tokenizer = AutoTokenizer.from_pretrained(
+            config.model_name,
+            revision=config.revision,
+        )
+        self.assertEqual(vllm_tokenizer.chat_template, tokenizer.chat_template)