docs: Add Model Meta parameters and metadata

mteb/model_meta.py

@@ -74,6 +74,8 @@ class ModelMeta(BaseModel):
             input such as "query: {document}" or "passage: {document}".
         zero_shot_benchmarks: A list of benchmarks on which the model has been evaluated in a zero-shot setting. By default we assume that all models
             are evaluated non-zero-shot unless specified otherwise.
+        adapted_from: Name of the model from which this model is adapted from. For quantizations, fine-tunes, long doc extensions, etc.
+        supersedes: Name of the model that this model supersedes, e.g. nvidia/NV-Embed-v2 supersedes v1.
     """
 
     model_config = ConfigDict(extra="forbid")
@@ -96,6 +98,8 @@ class ModelMeta(BaseModel):
     similarity_fn_name: DISTANCE_METRICS | None = None
     use_instructions: bool | None = None
     zero_shot_benchmarks: list[str] | None = None
+    adapted_from: str | None = None
+    supersedes: str | None = None
 
     def to_dict(self):
         dict_repr = self.model_dump()

mteb/models/sentence_transformers_models.py

@@ -70,7 +70,7 @@
     memory_usage=None,
     embed_dim=384,
     license="apache-2.0",
-    max_tokens=512,
+    max_tokens=256,
     reference="https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
     similarity_fn_name="cosine",
     framework=["Sentence Transformers", "PyTorch"],
@@ -127,3 +127,41 @@
     framework=["Sentence Transformers", "PyTorch"],
     use_instructions=False,
 )
+
+multi_qa_MiniLM_L6_cos_v1 = ModelMeta(
+    name="sentence-transformer/multi-qa-MiniLM-L6-cos-v1",
+    languages=["eng-Latn"],
+    open_weights=True,
+    revision="b207367332321f8e44f96e224ef15bc607f4dbf0",  # can be any
+    release_date="2021-08-30",
+    n_parameters=22_700_000,
+    memory_usage=None,
+    embed_dim=384,
+    license="apache-2.0",
+    max_tokens=512,
+    reference="https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1",
+    similarity_fn_name="cosine",
+    framework=["Sentence Transformers", "PyTorch"],
+    use_instructions=False,
+    supersedes=None,
+    adapted_from=None,
+)
+
+all_mpnet_base_v2 = ModelMeta(
+    name="sentence-transformers/all-mpnet-base-v2",
+    languages=["eng-Latn"],
+    open_weights=True,
+    revision="9a3225965996d404b775526de6dbfe85d3368642",  # can be any
+    release_date="2021-08-30",
+    n_parameters=109_000_000,
+    memory_usage=None,
+    embed_dim=768,
+    license="apache-2.0",
+    max_tokens=384,
+    reference="https://huggingface.co/sentence-transformers/all-mpnet-base-v2",
+    similarity_fn_name="cosine",
+    framework=["Sentence Transformers", "PyTorch"],
+    use_instructions=False,
+    supersedes="sentence-transformers/all-mpnet-base-v1",
+    adapted_from=None,
+)