Google expanded its Gemma 2 family of language models with the new 2 billion parameter Gemma 2 2B. It outperforms GPT-3.5 models and can run efficiently on various devices including PCs.
In June, Google first announced Gemma 2, the next generation of open language models built on a new architecture designed for high performance and efficiency. Until yesterday, Gemma 2 was available in two sizes: 9 billion (9B) and 27 billion (27B) parameters. Yesterday, Google expanded the Gemma 2 family by announcing Gemma 2 2B with 2 billion parameters.
The new Gemma 2 2B claims to deliver best-in-class performance, even beating all GPT-3.5 models on the Chatbot Arena with a score of 1126. It can also run efficiently on various hardware, ranging from PCs and edge devices to cloud deployments on Google Cloud Vertex AI.
