diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index c17b5d9ca..c32089c4a 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -30,7 +30,7 @@ repos:
           ]
 
   - repo: https://github.com/psf/black-pre-commit-mirror
-    rev: 25.9.0
+    rev: 25.12.0
     hooks:
       - id: black
         files: (.*\.py)$
@@ -52,17 +52,17 @@ repos:
           - tomli
 
   - repo: https://github.com/crate-ci/typos
-    rev: v1.38.1
+    rev: v1
     hooks:
       - id: typos
 
   - repo: https://github.com/pycqa/isort
-    rev: 6.1.0
+    rev: 7.0.0
     hooks:
       - id: isort
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.14.0
+    rev: v0.14.10
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix, --no-cache]
diff --git a/auto_round/compressors/mllm/dataset.py b/auto_round/compressors/mllm/dataset.py
index 349b8a33f..cf2941350 100644
--- a/auto_round/compressors/mllm/dataset.py
+++ b/auto_round/compressors/mllm/dataset.py
@@ -68,7 +68,7 @@ def __init__(
         self,
         template,
         model,
-        tokenzier,
+        tokenizer,
         dataset_path,
         extra_data_dir=None,
         seqlen=512,
@@ -80,7 +80,7 @@ def __init__(
         self.model = model
         self.model_type = template.model_type
         self.template = template
-        self.tokenizer = tokenzier
+        self.tokenizer = tokenizer
         if os.path.exists(dataset_path):
             logger.info(f"use dataset {dataset_path}, loading from disk...")
             self.questions = json.load(open(dataset_path, "r"))
diff --git a/test/test_cpu/test_mllm.py b/test/test_cpu/test_mllm.py
index 2eb1d3e2f..3a91be1ca 100644
--- a/test/test_cpu/test_mllm.py
+++ b/test/test_cpu/test_mllm.py
@@ -99,11 +99,11 @@ class Myclass:
             model_type = None
 
         dataset = MLLM_DATASET["liuhaotian/llava"](
-            template=Myclass(), model=None, tokenzier=None, dataset_path="liuhaotian/llava", seqlen=32, nsamples=32
+            template=Myclass(), model=None, tokenizer=None, dataset_path="liuhaotian/llava", seqlen=32, nsamples=32
         )
         assert len(dataset.questions) == 32
         dataset = MLLM_DATASET["liuhaotian/llava"](
-            template=Myclass(), model=None, tokenzier=None, dataset_path="liuhaotian/llava", seqlen=2048, nsamples=512
+            template=Myclass(), model=None, tokenizer=None, dataset_path="liuhaotian/llava", seqlen=2048, nsamples=512
         )
         assert len(dataset.questions) == 512