T5Gemma is a family of lightweight yet powerful encoder-decoder models developed by Google, adapted from pretrained decoder-only models to offer a favorable quality-efficiency trade-off. These models excel at generative tasks such as question answering, summarization, and reasoning, and their encoders also provide strong performance on discriminative tasks like classification and understanding benchmarks.
Input
Output
Context
16K
Max Output
1K
Parameters
300M
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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