Heaptalk, Jakarta — After announcing the rebranding of Bard to Gemini, Google introduced a series of large language models (LLMs) called Gemma aimed at responsible AI development (02/21). These open models are built from the same research and technology used to develop the Gemini models.
Gemma is released in two sizes, namely Gemma 2B and Gemma 7B. Both are equipped with pre-trained and instruction-tuned variants. Developers can run these models on laptops, workstations, or Google Cloud with easy deployment on Vertex AI and Google Kubernetes Engines (GKE).
“We have a long history of contributing innovations to the open community, such as with Transformers, TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode. Today, we’re excited to introduce a new generation of open models from Google to assist developers and researchers in building AI responsibly,” Google stated on its official blog (02/21).
At the same time, the tech giant also released a new responsible generative AI toolkit that provides guidance and essential tools for creating safer AI applications with Gemma. The toolkit includes safety classification, debugging, and guidance. Google added, “You can access best practices for model builders based on Google’s experience in developing and deploying large language models.”
These models are available for commercial and research purposes. Gemma is accessible through free access on Kaggle, a free tier for Colab notebooks, and $300 in credits for first-time Google Cloud users. In addition, researchers can also apply for Google Cloud credits of up to $500,000 to accelerate their projects.
