Google has released updated versions of the Gemini 2.5 Flash and Flash-Lite models, enhancing quality and efficiency with significant reductions in output tokens and improved capabilities in instruction following, conciseness, and multimodal functions. The updates aim to facilitate better performance in complex applications while allowing users to easily access the latest models through new aliases.

The repository provides an implementation of the method "Learning Compact Vision Tokens for Efficient Large Multimodal Models," which enhances inference efficiency by fusing spatial-adjacent vision tokens and introducing a Multi-Block Token Fusion module. Experimental results show that this approach achieves competitive performance on various vision-language benchmarks while using only 25% of the baseline vision tokens.