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While these models have shown impressive capabilities across a wide range of generation tasks, the classic encoder-decoder architecture, such as T5 (The Text-to-Text Transfer Transformer), remains a popular choice for many real-world applications. Encoder-decoder models often excel at summarization, translation, QA, and more due to their high inference efficiency, design flexibility, and richer encoder representation for understanding input. Nevertheless, the powerful encoder-decoder architecture has received little relative attention. Today, we revisit this architecture and introduce T5Gemma , a new collection of encoder-decoder LLMs developed by converting pretrained decoder-only models into the encoder-decoder architecture through a technique called..."},"evidence_pages":[{"url":"https://deepmind.google/blog/t5gemma-a-new-collection-of-encoder-decoder-gemma-models/","final_url":"https://developers.googleblog.com/en/t5gemma/","title":"T5Gemma: A new collection of encoder-decoder Gemma models","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:15:32.74897+00:00","bytes":45937,"raw_path":"029478a9d27dee7d1346e6a2d6d2e948918bbabfd5e478149ed5d43586f2b2cc.html","content_hash":"0100558259eb7ca780504d73e6b9a9f2588a87f2f2cb5cdb9f43298b2efa0430","excerpt_chars":1200,"truncated":true,"excerpt":"T5Gemma: A new collection of encoder-decoder Gemma models - Google Developers Blog Gemma T5Gemma: A new collection of encoder-decoder Gemma models JULY 9, 2025 Biao Zhang Research Scientist Paul Suganthan Staff Software Engineer Ben Hora Product Manager Share Facebook Twitter LinkedIn Mail In the rapidly evolving landscape of large language models (LLMs), the spotlight has largely focused on the decoder-only architecture. While these models have shown impressive capabilities across a wide range of generation tasks, the classic encoder-decoder architecture, such as T5 (The Text-to-Text Transfer Transformer), remains a popular choice for many real-world applications. Encoder-decoder models often excel at summarization, translation, QA, and more due to their high inference efficiency, design flexibility, and richer encoder representation for understanding input. Nevertheless, the powerful encoder-decoder architecture has received little relative attention. 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