Google unveils T5Gemma 2 with multimodality and 128K context
Google just launched T5Gemma 2, an encoder-decoder model family built on Gemma 3 that introduces multimodal vision and massive 128K token contexts. By tying embeddings and merging attention mechanisms, Google squeezed parameters down to compact sizes (~370M to ~7B) ideal for on-device deployment. It is available as pre-trained weights ready for downstream fine-tuning.