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bge-m3-RU_MMARCO_NATIVE – AI Model by andreaschari | AlphaNeural AI

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andreaschari/
bge-m3-RU_MMARCO_NATIVE

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sentence-transformers

feature-extraction

sentence-similarity

unicamp-dl/mmarco

autotrain_compatible

text-embeddings-inference

endpoints_compatible

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BGE-m3 RU mMARCO/v2 Native Queries

This is a BGE-M3 model post-trained on the Russian dataset from MMARCO/v2.

The model was used for the SIGIR 2025 Short paper: Lost in Transliteration: Bridging the Script Gap in Neural IR.

Model Details

Model Description

Model Type: Sentence Transformer

Maximum Sequence Length: 8192 tokens
Output Dimensionality: 1024 tokens
Similarity Function: Cosine Similarity

Training Details

Framework Versions

Python: 3.10.13
Sentence Transformers: 3.1.1
Transformers: 4.45.1
PyTorch: 2.4.1
Accelerate: 0.34.2
Datasets: 3.0.1
Tokenizers: 0.20.3