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fix: Incorrect annotations for Mistral-based embedding models #2157

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Merged
KennethEnevoldsen merged 1 commit into from
Feb 25, 2025
Merged

fix: Incorrect annotations for Mistral-based embedding models #2157

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4 changes: 3 additions & 1 deletion mteb/models/linq_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@

from mteb.encoder_interface import PromptType
from mteb.model_meta import ModelMeta
from mteb.models.e5_instruct import E5_MISTRAL_TRAINING_DATA
from mteb.models.instruct_wrapper import instruct_wrapper


Expand Down Expand Up @@ -42,5 +43,6 @@ def instruction_template(
use_instructions=True,
public_training_code=None,
public_training_data=None,
training_datasets=None,
adapted_from="intfloat/e5-mistral-7b-instruct",
training_datasets=E5_MISTRAL_TRAINING_DATA,
)
6 changes: 3 additions & 3 deletions mteb/models/misc_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@

from mteb.model_meta import ModelMeta, sentence_transformers_loader
from mteb.models.bge_models import bge_m3_training_data, bge_training_data
from mteb.models.e5_models import E5_TRAINING_DATA
from mteb.models.e5_instruct import E5_MISTRAL_TRAINING_DATA
from mteb.models.sentence_transformers_models import sent_trf_training_dataset

Haon_Chen__speed_embedding_7b_instruct = ModelMeta(
Expand Down Expand Up @@ -203,9 +203,9 @@
reference="https://huggingface.co/BeastyZ/e5-R-mistral-7b",
similarity_fn_name="cosine",
use_instructions=None,
training_datasets=E5_TRAINING_DATA,
training_datasets=E5_MISTRAL_TRAINING_DATA,
# not MTEB: {"BeastyZ/E5-R": ["train"]},
adapted_from="/ConRetriever/public_weight_mistral",
adapted_from="intfloat/e5-mistral-7b-instruct",
superseded_by=None,
)
Lajavaness__bilingual_embedding_base = ModelMeta(
Expand Down