feat: add new arctic v2.0 models

mteb/models/arctic_models.py

@@ -4,33 +4,82 @@
 
 from mteb.model_meta import ModelMeta, sentence_transformers_loader
 
-arctic_m_v1_5 = ModelMeta(
-    loader=partial(
-        sentence_transformers_loader,
-        model_name="Snowflake/snowflake-arctic-embed-m-v1.5",
-        revision="97eab2e17fcb7ccb8bb94d6e547898fa1a6a0f47",
-        model_prompts={
-            "query": "Represent this sentence for searching relevant passages: "
-        },
-    ),
-    name="Snowflake/snowflake-arctic-embed-m-v1.5",
-    revision="97eab2e17fcb7ccb8bb94d6e547898fa1a6a0f47",
-    release_date="2024-07-08",  # initial commit of hf model.
-    languages=["eng_Latn"],
-    open_weights=True,
-    framework=["Sentence Transformers", "PyTorch"],
-    n_parameters=109_000_000,
-    memory_usage=None,
-    max_tokens=512,
-    embed_dim=768,
-    license="apache-2.0",
-    reference="https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5",
-    similarity_fn_name="cosine",
-    use_instructions=False,
-    adapted_from=None,
-    superseded_by=None,
-)
-
+LANGUAGES_V2_0 = [
+    "afr_Latn",
+    "ara_Arab",
+    "aze_Latn",
+    "bel_Cyrl",
+    "bul_Cyrl",
+    "ben_Beng",
+    "cat_Latn",
+    "ceb_Latn",
+    "ces_Latn",
+    "cym_Latn",
+    "dan_Latn",
+    "deu_Latn",
+    "ell_Grek",
+    "eng_Latn",
+    "spa_Latn",
+    "est_Latn",
+    "eus_Latn",
+    "fas_Arab",
+    "fin_Latn",
+    "fra_Latn",
+    "glg_Latn",
+    "guj_Gujr",
+    "heb_Hebr",
+    "hin_Deva",
+    "hrv_Latn",
+    "hat_Latn",
+    "hun_Latn",
+    "hye_Armn",
+    "ind_Latn",
+    "isl_Latn",
+    "ita_Latn",
+    "jpn_Jpan",
+    "jav_Latn",
+    "kat_Geor",
+    "kaz_Cyrl",
+    "khm_Khmr",
+    "kan_Knda",
+    "kor_Hang",
+    "kir_Cyrl",
+    "lao_Laoo",
+    "lit_Latn",
+    "lav_Latn",
+    "mkd_Cyrl",
+    "mal_Mlym",
+    "mon_Cyrl",
+    "mar_Deva",
+    "msa_Latn",
+    "mya_Mymr",
+    "nep_Deva",
+    "nld_Latn",
+    "pan_Guru",
+    "pol_Latn",
+    "por_Latn",
+    "que_Latn",
+    "ron_Latn",
+    "rus_Cyrl",
+    "sin_Sinh",
+    "slk_Latn",
+    "slv_Latn",
+    "som_Latn",
+    "sqi_Latn",
+    "srp_Cyrl",
+    "swe_Latn",
+    "swa_Latn",
+    "tam_Taml",
+    "tel_Telu",
+    "tha_Thai",
+    "tgl_Latn",
+    "tur_Latn",
+    "ukr_Cyrl",
+    "urd_Arab",
+    "vie_Latn",
+    "yor_Latn",
+    "zho_Hans",
+]
 
 arctic_embed_xs = ModelMeta(
     loader=partial(
@@ -118,7 +167,7 @@
     languages=["eng_Latn"],
     open_weights=True,
     framework=["Sentence Transformers", "PyTorch"],
-    n_parameters=109_000_000,
+    n_parameters=137_000_000,
     memory_usage=None,
     max_tokens=2048,
     embed_dim=768,
@@ -127,10 +176,9 @@
     similarity_fn_name="cosine",
     use_instructions=False,
     adapted_from="nomic-ai/nomic-embed-text-v1-unsupervised",
-    superseded_by=None,
+    superseded_by="Snowflake/snowflake-arctic-embed-m-v2.0",
 )
 
-
 arctic_embed_l = ModelMeta(
     loader=partial(
         sentence_transformers_loader,
@@ -143,14 +191,89 @@
     languages=["eng_Latn"],
     open_weights=True,
     framework=["Sentence Transformers", "PyTorch"],
-    n_parameters=109_000_000,
+    n_parameters=335_000_000,
     memory_usage=None,
     max_tokens=512,
-    embed_dim=768,
+    embed_dim=1024,
     license="apache-2.0",
     reference="https://huggingface.co/Snowflake/snowflake-arctic-embed-l",
     similarity_fn_name="cosine",
     use_instructions=False,
     adapted_from="intfloat/e5-base-unsupervised",
+    superseded_by="Snowflake/snowflake-arctic-embed-l-v2.0",
+)
+
+arctic_embed_m_v1_5 = ModelMeta(
+    loader=partial(
+        sentence_transformers_loader,
+        model_name="Snowflake/snowflake-arctic-embed-m-v1.5",
+        revision="97eab2e17fcb7ccb8bb94d6e547898fa1a6a0f47",
+        model_prompts={
+            "query": "Represent this sentence for searching relevant passages: "
+        },
+    ),
+    name="Snowflake/snowflake-arctic-embed-m-v1.5",
+    revision="97eab2e17fcb7ccb8bb94d6e547898fa1a6a0f47",
+    release_date="2024-07-08",  # initial commit of hf model.
+    languages=["eng_Latn"],
+    open_weights=True,
+    framework=["Sentence Transformers", "PyTorch"],
+    n_parameters=109_000_000,
+    memory_usage=None,
+    max_tokens=512,
+    embed_dim=768,
+    license="apache-2.0",
+    reference="https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5",
+    similarity_fn_name="cosine",
+    use_instructions=False,
+    adapted_from=None,
+    superseded_by="Snowflake/snowflake-arctic-embed-m-v2.0",
+)
+
+arctic_embed_m_v2_0 = ModelMeta(
+    loader=partial(
+        sentence_transformers_loader,
+        model_name="Snowflake/snowflake-arctic-embed-m-v2.0",
+        revision="f2a7d59d80dfda5b1d14f096f3ce88bb6bf9ebdc",
+    ),
+    name="Snowflake/snowflake-arctic-embed-m-v2.0",
+    revision="f2a7d59d80dfda5b1d14f096f3ce88bb6bf9ebdc",
+    release_date="2024-12-04",  # initial commit of hf model.
+    languages=LANGUAGES_V2_0,
+    open_weights=True,
+    framework=["Sentence Transformers", "PyTorch"],
+    n_parameters=305_000_000,
+    memory_usage=None,
+    max_tokens=8192,
+    embed_dim=768,
+    license="apache-2.0",
+    reference="https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v2.0",
+    similarity_fn_name="cosine",
+    use_instructions=False,
+    adapted_from="Alibaba-NLP/gte-multilingual-base",
+    superseded_by=None,
+)
+
+arctic_embed_l_v2_0 = ModelMeta(
+    loader=partial(
+        sentence_transformers_loader,
+        model_name="Snowflake/snowflake-arctic-embed-l-v2.0",
+        revision="edc2df7b6c25794b340229ca082e7c78782e6374",
+    ),
+    name="Snowflake/snowflake-arctic-embed-l-v2.0",
+    revision="edc2df7b6c25794b340229ca082e7c78782e6374",
+    release_date="2024-12-04",  # initial commit of hf model.
+    languages=LANGUAGES_V2_0,
+    open_weights=True,
+    framework=["Sentence Transformers", "PyTorch"],
+    n_parameters=568_000_000,
+    memory_usage=None,
+    max_tokens=8192,
+    embed_dim=1024,
+    license="apache-2.0",
+    reference="https://huggingface.co/Snowflake/snowflake-arctic-embed-l-v2.0",
+    similarity_fn_name="cosine",
+    use_instructions=False,
+    adapted_from="BAAI/bge-m3-retromae",
     superseded_by=None,
 )

mteb/models/misc_models.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from mteb.model_meta import ModelMeta
 
 Haon_Chen__speed_embedding_7b_instruct = ModelMeta(