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updated 2 models 38 minutes ago

hotchpotch/bekko-embedding-v1-a25m

Sentence Similarity • 0.1B • Updated 38 minutes ago • 1.97k • 6

hotchpotch/bekko-embedding-v1-a8m

Sentence Similarity • 0.1B • Updated 38 minutes ago • 495 • 6

updated a dataset about 1 hour ago

hakari-bench/leaderboard_database

Updated about 1 hour ago • 3.53k

updated a model about 1 hour ago

hotchpotch/bekko-embedding-v1-a25m-GGUF

Feature Extraction • 0.1B • Updated 42 minutes ago

published a model about 1 hour ago

hotchpotch/bekko-embedding-v1-a25m-GGUF

Feature Extraction • 0.1B • Updated 42 minutes ago

updated a model about 1 hour ago

hotchpotch/bekko-embedding-v1-a8m-GGUF

Feature Extraction • 0.1B • Updated 42 minutes ago

published a model about 1 hour ago

hotchpotch/bekko-embedding-v1-a8m-GGUF

Feature Extraction • 0.1B • Updated 42 minutes ago

New activity in hakari-bench/results about 3 hours ago

Add NanoMTEB-BR results for 78 models

1

#29 opened about 3 hours ago by

hotchpotch

updated a dataset 1 day ago

hakari-bench/NanoMTEB-BR

Viewer • Updated 1 day ago • 30.6k • 82

published a dataset 1 day ago

hakari-bench/NanoMTEB-BR

Viewer • Updated 1 day ago • 30.6k • 82

New activity in hotchpotch/bekko-embedding-v1-unsupervised 6 days ago

Add task category metadata

3

#2 opened 6 days ago by

nielsr

liked a model 6 days ago

LiquidAI/LFM2.5-Encoder-230M

Fill-Mask • 0.2B • Updated 7 days ago • 13.5k • 84

authored a paper 6 days ago

Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders

Paper • 2607.25180 • Published 7 days ago • 1

updated 2 datasets 6 days ago

hotchpotch/bekko-embedding-v1-unsupervised

Updated 6 days ago • 7.17k • 1

hotchpotch/bekko-embedding-hard-negatives

Updated 6 days ago • 32

published a dataset 6 days ago

hotchpotch/bekko-embedding-hard-negatives

Updated 6 days ago • 32

commented a paper 6 days ago

Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders

Paper • 2607.25180 • Published 7 days ago • 1 •

1

published an article 6 days ago

view article

Article

Bekko Embedding: how small can a multilingual retrieval model be?

• 

hotchpotch

•

6 days ago

• 5

updated a collection 6 days ago

bekko-embedding-v1

Collection

Compact multilingual embedding models with 8M and 25M active parameters, including pretrained checkpoints and retrieval-fine-tuned releases. • 8 items • Updated 6 days ago • 3

updated a Space 6 days ago

Running

2

bekko-embedding-web

🚀

2

Run ultra-compact multilingual embeddings in your browser.