The TempestLLM model collection consists of the base foundation model, an instruction fine-tuned (SFT) version, and other related variants.
AI & ML interests
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.
A suite of models and a dataset designed to assess the quality of natural language and code data.
-
TempestTeam/EuroBERT-210m-Quality
Text Classification • 0.2B • Updated • 92 • 1 -
TempestTeam/EuroBERT-210m-Quality-NL
Text Classification • 0.2B • Updated • 12 • 1 -
TempestTeam/EuroBERT-210m-Quality-CL
Text Classification • 0.2B • Updated • 10 • 1 -
TempestTeam/dataset-quality
Viewer • Updated • 44.8k • 69 • 1
The TempestLLM model collection consists of the base foundation model, an instruction fine-tuned (SFT) version, and other related variants.
A suite of models and a dataset designed to assess the quality of natural language and code data.
-
TempestTeam/EuroBERT-210m-Quality
Text Classification • 0.2B • Updated • 92 • 1 -
TempestTeam/EuroBERT-210m-Quality-NL
Text Classification • 0.2B • Updated • 12 • 1 -
TempestTeam/EuroBERT-210m-Quality-CL
Text Classification • 0.2B • Updated • 10 • 1 -
TempestTeam/dataset-quality
Viewer • Updated • 44.8k • 69 • 1