TempestTeam

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Our goal is to train the largest possible SSM model while minimizing infrastructure requirements. This approach reduces both economic and environmental impact without significantly compromising the model's linguistic performance.

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Cyrile updated a dataset 3 days ago

TempestTeam/dataset-quality

Cyrile updated a model 3 days ago

TempestTeam/EuroBERT-210m-Quality-NL

Cyrile updated a model 3 days ago

TempestTeam/EuroBERT-210m-Quality-CL

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Cyrile

updated a dataset 3 days ago

TempestTeam/dataset-quality

Viewer • Updated 3 days ago • 21k • 63 • 1

Cyrile

updated 3 models 3 days ago

Cyrile

updated a collection 3 days ago

Text & Code Data — Quality Quantification

Collection

A suite of models and a dataset designed to assess the quality of natural language and code data. • 4 items • Updated 3 days ago

Cyrile

updated a Space 4 days ago

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Cyrile

published 3 models 6 days ago

TempestTeam/EuroBERT-210m-Quality-CL

Text Classification • Updated 3 days ago • 15 • 1

TempestTeam/EuroBERT-210m-Quality-NL

Text Classification • Updated 3 days ago • 14 • 1

TempestTeam/EuroBERT-210m-Quality

Text Classification • Updated 3 days ago • 21 • 1

Cyrile

in TempestTeam/dataset-quality 6 days ago

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Cyrile

published a dataset 7 days ago

TempestTeam/dataset-quality

Viewer • Updated 3 days ago • 21k • 63 • 1

Cyrile

published a Space 16 days ago

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Cyrile

authored a paper about 1 year ago

DistilCamemBERT: a distillation of the French model CamemBERT

Paper • 2205.11111 • Published May 23, 2022 • 3

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