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126 changes: 126 additions & 0 deletions mteb/models/sentence_transformers_models.py
Original file line number Diff line number Diff line change
Expand Up @@ -374,3 +374,129 @@
public_training_data=None,
training_datasets={"SNLI": ["train"], "Community QA": ["train"]},
)
gtr_t5_large = ModelMeta(
name="sentence-transformers/gtr-t5-large",
languages=["eng-Latn"], # in format eng-Latn
open_weights=True,
revision="a2c8ac47f998531948d4cbe32a0b577a7037a5e3",
release_date="2022-02-09",
n_parameters=335_000_000,
memory_usage_mb=639,
embed_dim=768,
license="apache-2.0",
max_tokens=512,
reference="https://huggingface.co/sentence-transformers/gtr-t5-large",
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=False,
public_training_code=None,
public_training_data=None,
training_datasets={
"MSMARCO": ["train"],
"MSMARCOHardNegatives": ["train"],
"NanoMSMARCORetrieval": ["train"],
"MSMARCO-PL": ["train"], # translation not trained on
"mMARCO-NL": ["train"], # translation not trained on
"NQ": ["train"],
"NQ-NL": ["train"], # translation not trained on
"NQHardNegatives": ["train"],
"NanoNQRetrieval": ["train"],
"NQ-PL": ["train"], # translation not trained on
"Community QA": ["train"],
},
)

gtr_t5_xl = ModelMeta(
name="sentence-transformers/gtr-t5-xl",
languages=["eng-Latn"], # in format eng-Latn
open_weights=True,
revision="23a8d667a1ad2578af181ce762867003c498d1bf",
release_date="2022-02-09",
n_parameters=1_240_000_000,
memory_usage_mb=2367,
embed_dim=768,
license="apache-2.0",
max_tokens=512,
reference="https://huggingface.co/sentence-transformers/gtr-t5-xl",
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=False,
public_training_code=None,
public_training_data=None,
training_datasets={
"MSMARCO": ["train"],
"MSMARCOHardNegatives": ["train"],
"NanoMSMARCORetrieval": ["train"],
"MSMARCO-PL": ["train"], # translation not trained on
"mMARCO-NL": ["train"], # translation not trained on
"NQ": ["train"],
"NQ-NL": ["train"], # translation not trained on
"NQHardNegatives": ["train"],
"NanoNQRetrieval": ["train"],
"NQ-PL": ["train"], # translation not trained on
"Community QA": ["train"],
},
)
gtr_t5_xxl = ModelMeta(
name="sentence-transformers/gtr-t5-xxl",
languages=["eng-Latn"], # in format eng-Latn
open_weights=True,
revision="73f2a9156a3dcc2194dfdb2bf201cd7d17e17884",
release_date="2022-02-09",
n_parameters=4_860_000_000,
memory_usage_mb=9279,
embed_dim=768,
license="apache-2.0",
max_tokens=512,
reference="https://huggingface.co/sentence-transformers/gtr-t5-xxl",
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=False,
public_training_code=None,
public_training_data=None,
training_datasets={
"MSMARCO": ["train"],
"MSMARCOHardNegatives": ["train"],
"NanoMSMARCORetrieval": ["train"],
"MSMARCO-PL": ["train"], # translation not trained on
"mMARCO-NL": ["train"], # translation not trained on
"NQ": ["train"],
"NQ-NL": ["train"], # translation not trained on
"NQHardNegatives": ["train"],
"NanoNQRetrieval": ["train"],
"NQ-PL": ["train"], # translation not trained on
"Community QA": ["train"],
},
)

gtr_t5_base = ModelMeta(
name="sentence-transformers/gtr-t5-base",
languages=["eng-Latn"], # in format eng-Latn
open_weights=True,
revision="7027e9594267928589816394bdd295273ddc0739",
release_date="2022-02-09",
n_parameters=110_000_000,
memory_usage_mb=209,
embed_dim=768,
license="apache-2.0",
max_tokens=512,
reference="https://huggingface.co/sentence-transformers/gtr-t5-base",
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=False,
public_training_code=None,
public_training_data=None,
training_datasets={
"MSMARCO": ["train"],
"MSMARCOHardNegatives": ["train"],
"NanoMSMARCORetrieval": ["train"],
"MSMARCO-PL": ["train"], # translation not trained on
"mMARCO-NL": ["train"], # translation not trained on
"NQ": ["train"],
"NQ-NL": ["train"], # translation not trained on
"NQHardNegatives": ["train"],
"NanoNQRetrieval": ["train"],
"NQ-PL": ["train"], # translation not trained on
"Community QA": ["train"],
},
)