embeddingmagibu2 is a Turkish-focused multilingual embedding model built from google/embeddinggemma-2 and the Turkish-optimized magibu/Altus tokenizer. Offline distillation from google/embeddinggemma-2 is in progress; this table is updated automatically at every release. Latest release: phase5-train-new-done. Phases: test/new → test/full → validation/new → validation/full → train/new → train/full (new: only the new Turkish token embeddings train; full: all embeddings + text backbone at a low learning rate). Metrics on 2,048 held-out validation rows: cosine to the teacher's document embeddings for Turkish and for the other languages, their mean (score), and STSbTR test Spearman. It follows…