diff --git a/mteb/models/qzhou_models.py b/mteb/models/qzhou_models.py
index bab9fb969e..6fdb90afcb 100644
--- a/mteb/models/qzhou_models.py
+++ b/mteb/models/qzhou_models.py
@@ -42,6 +42,8 @@ def instruction_template(
     "TweetSentimentExtractionClassification": ["train"],
 }
 
+qzhou_zh_training_data = {"LCQMC": ["train"], "PAWSX": ["train"]}
+
 QZhou_Embedding = ModelMeta(
     loader=partial(
         InstructSentenceTransformerWrapper,
@@ -78,3 +80,32 @@ def instruction_template(
         # "infgrad/retrieval_data_llm": ["train"],
     },
 )
+
+QZhou_Embedding_Zh = ModelMeta(
+    loader=partial(
+        InstructSentenceTransformerWrapper,
+        model_name="Kingsoft-LLM/QZhou-Embedding-Zh",
+        revision="0321ccb126413d1e49c5ce908e802b63d35f18e2",
+        instruction_template=instruction_template,
+        apply_instruction_to_passages=False,
+    ),
+    name="Kingsoft-LLM/QZhou-Embedding-Zh",
+    languages=["zho-Hans"],
+    open_weights=True,
+    revision="0321ccb126413d1e49c5ce908e802b63d35f18e2",
+    release_date="2025-09-28",
+    n_parameters=7_575_747_328,
+    memory_usage_mb=29431,
+    embed_dim=1792,
+    license="apache-2.0",
+    max_tokens=8192,
+    reference="http://huggingface.co/Kingsoft-LLM/QZhou-Embedding-Zh",
+    similarity_fn_name="cosine",
+    framework=["Sentence Transformers", "PyTorch"],
+    use_instructions=True,
+    public_training_code=None,
+    public_training_data=None,
+    training_datasets={
+        **qzhou_zh_training_data,
+    },
+)