diff --git a/mteb/models/ops_moa_models.py b/mteb/models/ops_moa_models.py
new file mode 100644
index 0000000000..965b5800a2
--- /dev/null
+++ b/mteb/models/ops_moa_models.py
@@ -0,0 +1,93 @@
+from __future__ import annotations
+
+from mteb.model_meta import ModelMeta
+from mteb.models.wrapper import Wrapper
+from functools import partial
+from sentence_transformers import SentenceTransformer
+import torch
+import torch.nn as nn
+from huggingface_hub import snapshot_download
+
+
+class CustomWrapper(Wrapper):
+    def __init__(self, model_name, revision):
+        super().__init__()
+        self.model = SentenceTransformer(
+            model_name, revision=revision, trust_remote_code=True
+        )
+        self.output_dim = 1536
+
+    def encode(self, sentences: list[str], **kwargs) -> np.ndarray:
+        embeddings = self.model.encode(sentences, **kwargs)
+        return embeddings[:, : self.output_dim]
+
+
+ops_moa_conan_embedding = ModelMeta(
+    name="OpenSearch-AI/Ops-MoA-Conan-embedding-v1",
+    revision="46dcd58753f3daa920c66f89e47086a534089350",
+    release_date="2025-03-26",
+    languages=["zho_Hans"],
+    loader=partial(
+        CustomWrapper,
+        "OpenSearch-AI/Ops-MoA-Conan-embedding-v1",
+        "46dcd58753f3daa920c66f89e47086a534089350",
+    ),
+    n_parameters=343 * 1e6,
+    memory_usage_mb=2e3,
+    max_tokens=512,
+    embed_dim=1536,
+    license="cc-by-nc-4.0",
+    open_weights=True,
+    public_training_code=None,
+    public_training_data=None,
+    framework=["PyTorch", "Sentence Transformers"],
+    reference="https://huggingface.co/OpenSearch-AI/Ops-MoA-Conan-embedding-v1",
+    similarity_fn_name="cosine",
+    use_instructions=False,
+    training_datasets={
+        "T2Retrieval": ["train"],
+        "MMarcoRetrieval": ["train"],
+        "DuRetrieval": ["train"],
+        "CovidRetrieval": ["train"],
+        "CmedqaRetrieval": ["train"],
+        "EcomRetrieval": ["train"],
+        "MedicalRetrieval": ["train"],
+        "VideoRetrieval": ["train"],
+    },
+    superseded_by=None,
+)
+
+ops_moa_yuan_embedding = ModelMeta(
+    name="OpenSearch-AI/Ops-MoA-Yuan-embedding-1.0",
+    revision="23712d0766417b0eb88a2513c6e212a58b543268",
+    release_date="2025-03-26",
+    languages=["zho_Hans"],
+    loader=partial(
+        CustomWrapper,
+        "OpenSearch-AI/Ops-MoA-Yuan-embedding-1.0",
+        "23712d0766417b0eb88a2513c6e212a58b543268",
+    ),
+    n_parameters=343 * 1e6,
+    memory_usage_mb=2e3,
+    max_tokens=512,
+    embed_dim=1536,
+    license="cc-by-nc-4.0",
+    open_weights=True,
+    public_training_code=None,
+    public_training_data=None,
+    framework=["PyTorch", "Sentence Transformers"],
+    reference="https://huggingface.co/OpenSearch-AI/Ops-MoA-Yuan-embedding-1.0",
+    similarity_fn_name="cosine",
+    use_instructions=False,
+    training_datasets={
+        "T2Retrieval": ["train"],
+        "MMarcoRetrieval": ["train"],
+        "DuRetrieval": ["train"],
+        "CovidRetrieval": ["train"],
+        "CmedqaRetrieval": ["train"],
+        "EcomRetrieval": ["train"],
+        "MedicalRetrieval": ["train"],
+        "VideoRetrieval": ["train"],
+    },
+    superseded_by=None,
+)
diff --git a/mteb/models/overview.py b/mteb/models/overview.py
index a715ab2730..a2c4267da6 100644
--- a/mteb/models/overview.py
+++ b/mteb/models/overview.py
@@ -57,6 +57,7 @@
     nvidia_models,
     openai_models,
     openclip_models,
+    ops_moa_models,
     piccolo_models,
     promptriever_models,
     qodo_models,
@@ -124,6 +125,7 @@
     nvidia_models,
     openai_models,
     openclip_models,
+    ops_moa_models,
     piccolo_models,
     gme_v_models,
     promptriever_models,