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fix: Added gte models #1539

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fix: Added gte models #1539

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fa8a953
fix: Added gte models
KennethEnevoldsen Dec 3, 2024
3e8d2cc
fix: Add mixbai models (#1540)
KennethEnevoldsen Dec 4, 2024
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146 changes: 146 additions & 0 deletions mteb/models/gte_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,4 +32,150 @@
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=True,
adapted_from="Qwen/Qwen2-7B",
supersedes="Alibaba-NLP/gte-Qwen1.5-7B-instruct",
)


gte_Qwen15_7B_instruct = ModelMeta(
loader=partial(
instruct_wrapper,
model_name_or_path="Alibaba-NLP/gte-Qwen1.5-7B-instruct",
instruction_template="Instruct: {instruction}\nQuery: ",
attn="cccc",
pooling_method="lasttoken",
mode="embedding",
torch_dtype="auto",
normalized=True,
),
name="Alibaba-NLP/gte-Qwen1.5-7B-instruct",
languages=None,
open_weights=True,
revision="07d27e5226328010336563bc1b564a5e3436a298",
release_date="2024-06-20", # initial commit of hf model
n_parameters=7_613_000_000,
memory_usage=None,
embed_dim=3584,
license="apache-2.0",
reference="https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct",
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=True,
adapted_from="Qwen/Qwen1.5-7B",
supersedes=None,
)

gte_base_en_v15 = ModelMeta(
name="Alibaba-NLP/gte-base-en-v1.5",
languages=["eng-Latn"],
open_weights=True,
revision="a829fd0e060bb84554da0dfd354d0de0f7712b7f", # can be any
release_date="2024-06-20", # initial commit of hf model
n_parameters=137_000_000,
memory_usage=None,
embed_dim=768,
license="apache-2.0",
max_tokens=8192,
reference="https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5",
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=False,
supersedes=None,
adapted_from=None,
)

gte_multilingual_base = ModelMeta(
name="Alibaba-NLP/gte-multilingual-base",
# lang codes from model card and converted to three letter codes
languages=[
"afr-Latn",
"ara-Latn",
"aze-Latn",
"bel-Latn",
"bul-Latn",
"ben-Latn",
"cat-Latn",
"ceb-Latn",
"ces-Latn",
"cym-Latn",
"dan-Latn",
"deu-Latn",
"ell-Latn",
"eng-Latn",
"spa-Latn",
"est-Latn",
"eus-Latn",
"fas-Latn",
"fin-Latn",
"fra-Latn",
"glg-Latn",
"guj-Latn",
"heb-Latn",
"hin-Latn",
"hrv-Latn",
"hat-Latn",
"hun-Latn",
"hye-Latn",
"ind-Latn",
"isl-Latn",
"ita-Latn",
"jpn-Latn",
"jav-Latn",
"kat-Latn",
"kaz-Latn",
"khm-Latn",
"kan-Latn",
"kor-Latn",
"kir-Latn",
"lao-Latn",
"lit-Latn",
"lav-Latn",
"mkd-Latn",
"mal-Latn",
"mon-Latn",
"mar-Latn",
"msa-Latn",
"mya-Latn",
"nep-Latn",
"nld-Latn",
"nor-Latn",
"pan-Latn",
"pol-Latn",
"por-Latn",
"que-Latn",
"ron-Latn",
"rus-Latn",
"sin-Latn",
"slk-Latn",
"slv-Latn",
"som-Latn",
"sqi-Latn",
"srp-Latn",
"swe-Latn",
"swa-Latn",
"tam-Latn",
"tel-Latn",
"tha-Latn",
"tgl-Latn",
"tur-Latn",
"ukr-Latn",
"urd-Latn",
"vie-Latn",
"yor-Latn",
"zho-Latn",
],
open_weights=True,
revision="a829fd0e060bb84554da0dfd354d0de0f7712b7f", # can be any
release_date="2024-06-20", # initial commit of hf model
n_parameters=137_000_000,
memory_usage=None,
embed_dim=768,
license="apache-2.0",
max_tokens=8192,
reference="https://huggingface.co/Alibaba-NLP/gte-multilingual-base",
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=False,
supersedes=None,
adapted_from=None,
)
51 changes: 51 additions & 0 deletions mteb/models/mxbai_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,4 +27,55 @@
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=True,
adapted_from=None,
supersedes=None,
)

mxbai_embed_2d_large_v1 = ModelMeta(
loader=partial(
sentence_transformers_loader,
model_name="mixedbread-ai/mxbai-embed-2d-large-v1",
revision="7e639ca8e344af398876ead3b19ec3c0b9068f49",
),
name="mixedbread-ai/mxbai-embed-2d-large-v1",
languages=["eng_Latn"],
open_weights=True,
revision="7e639ca8e344af398876ead3b19ec3c0b9068f49",
release_date="2024-03-04", # initial commit of hf model.
n_parameters=335_000_000,
memory_usage=None,
max_tokens=512,
embed_dim=768,
license="apache-2.0",
reference="https://huggingface.co/mixedbread-ai/mxbai-embed-2d-large-v1",
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=True,
adapted_from=None,
supersedes=None,
)


mxbai_embed_xsmall_v1 = ModelMeta(
loader=partial(
sentence_transformers_loader,
model_name="mixedbread-ai/mxbai-embed-xsmall-v1",
revision="2f741ec33328bb57e4704e1238fc59a4a5745705",
),
name="mixedbread-ai/mxbai-embed-xsmall-v1",
languages=["eng_Latn"],
open_weights=True,
revision="2f741ec33328bb57e4704e1238fc59a4a5745705",
release_date="2024-08-13", # initial commit of hf model.
n_parameters=24_100_000,
memory_usage=None,
max_tokens=512,
embed_dim=384,
license="apache-2.0",
reference="https://huggingface.co/mixedbread-ai/mxbai-embed-xsmall-v1",
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=True,
adapted_from="sentence-transformers/all-MiniLM-L6-v2",
supersedes=None,
)
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