model: Add qihoo360/Zhinao-ChineseModernBert-Embedding

mteb/models/model_implementations/zhinao_modernbert_models.py

@@ -0,0 +1,50 @@
+"""Zhinao Chinese ModernBert embedding models by Qihoo360"""
+
+from mteb.models.model_meta import ModelMeta, ScoringFunction
+from mteb.models.sentence_transformer_wrapper import sentence_transformers_loader
+
+zhinao_modernbert_zh_datasets = {
+    "BQ",
+    "LCQMC",
+    "PAWSX",
+    "STS-B",
+    "DuRetrieval",
+    "AFQMC",
+    "Cmnli",
+    "Ocnli",
+    "ThuNEWS",
+    "CMedQAv2",
+    "MMarco",
+    "T2Retrieval",
+    "JDReview",
+}
+
+zhinao_chinesemodernbert_embedding = ModelMeta(
+    loader=sentence_transformers_loader,
+    loader_kwargs={},
+    name="qihoo360/Zhinao-ChineseModernBert-Embedding",
+    revision="a476584b3d44d0af3d998c948f38bfc6b97e40a7",
+    release_date="2026-03-18",
+    languages=["zho-Hans"],
+    n_parameters=227018496,
+    n_active_parameters_override=None,
+    n_embedding_parameters=116686848,
+    memory_usage_mb=866,
+    max_tokens=512,
+    embed_dim=768,
+    license="apache-2.0",
+    open_weights=True,
+    public_training_code=None,
+    public_training_data=None,
+    framework=["Sentence Transformers", "PyTorch", "safetensors"],
+    reference="https://huggingface.co/qihoo360/Zhinao-ChineseModernBert-Embedding",
+    similarity_fn_name=ScoringFunction.COSINE,
+    use_instructions=True,
+    training_datasets=zhinao_modernbert_zh_datasets,
+    adapted_from=None,
+    superseded_by=None,
+    modalities=["text"],
+    model_type=["dense"],
+    citation=None,
+    contacts=["gitabtion"],
+)