Finnish ModernBERT Base Short EDU
Finnish ModernBERT Base Short EDU is a multilingual masked-language encoder with 209 million parameters. Its final training stage uses multilingual educational data.
Training and configuration
The card identifies a separate educational-data annealing release. It reports 365.0 billion training tokens. This release keeps the 209M-parameter 128,000-vocabulary architecture; it is not a quantized format of the baseline model.Finnish ModernBERT Base Short EDU: model card and weightsFinnish ModernBERT Base Short EDU: released configuration
Practical assessment
Practical guidance. This release is suitable for a controlled comparison with Base Short. Keep document truncation identical in both runs; otherwise the input selection can hide the effect of the educational-data stage.
Specifications & access
| Detail | Value and conditions |
|---|---|
| Access | Downloadable |
| Model identifiers | finnish-modernbert-base-short-edu |
| Context window | 8,192 tokens max_position_embeddings in this release's configuration; theoretical extrapolation is not recorded as an established input limit. Finnish ModernBERT Base Short EDU: released configuration |
| License | Apache 2.0.Finnish ModernBERT Base Short EDU: model card and weights |
| Architecture | 22 layers, hidden width 768 and 12 attention heads.Finnish ModernBERT Base Short EDU: released configuration |
| Vocabulary | 128,000 entries in the released configuration.Finnish ModernBERT Base Short EDU: released configuration |
| Training volume | 365.0 billion tokens, as stated by this release's card.Finnish ModernBERT Base Short EDU: model card and weights |
Related models
- Finnish ModernBERT Base Short
TurkuNLP ยท Finnish ModernBERT
Finnish ModernBERT Base Short provides 8,192-token encoder inputs with 209 million parameters.
Launch date not confirmedDownloadable