The Gemma 2B - 10M Context is a large-scale language model that, through innovative attention mechanism optimization, can process sequences up to 10M long with memory usage less than 32GB. The model employs recurrent localized attention technology, inspired by the Transformer-XL paper, making it a powerful tool for handling large-scale language tasks.