AI is happening. The future is updating.bekko-embedding-v1-a25m
bekko-embedding-v1-a25m is an ultra-compact multilingual text embedding model. It has just 25M active parameters — light enough to run comfortably on modest CPUs — yet its retrieval quality is comparable to models with 3–10x more active parameters. You can also try bekko right in your browser: the bekko-embedding-web demo runs the model fully client-side with Transformers.js — no server involved. > [!NOTE] > For a guided overview of the models, training recipe, and results, read Bekko Embedding: how small can a multilingual retrieval model be?.
bekko-embedding-v1-a25m is an ultra-compact multilingual text embedding model. It has just 25M active parameters — light enough to run comfortably on modest CPUs — yet its retrieval quality is comparable to models with 3–10x more active parameters. You can also try bekko right in your browser: the bekko-embedding-web demo runs the model fully client-side with Transformers.js — no server involved. > [!NOTE] > For a guided overview of the models, training recipe, and results, read Bekko Embedding: how small can a multilingual retrieval model be?.