Google Releases Gemma 2 Series Models: Advanced LLM Models in 9B and 27B Sizes Trained on 13T Tokens

The Gemma 2 models incorporate several unique features, such as knowledge distillation for training smaller models, interleaving attention layers for enhanced inference stability, soft attention capping to maintain stable training, WARP model merging techniques for performance boost, and group query attention for faster inference. These features enhance the models' efficiency and performance in various applications.

Gemma 2 models are approximately 2.5 times smaller than Llama 3 models. Despite their smaller size, they still deliver high performance and efficiency. This makes them ideal for applications where computational efficiency and speed are critical.