Gemma 3 shares tech with Gemini 2.0, supports 35 languages, and offers models with up to 27B parameters. It can be trained through Vertex AI and Google Colab, and it includes a safety image ...

While others scale up, Google scaled down — and won. GEMMA 3 is a small model with massive capabilities, showing that ...

However, 2B serves Gemma well. Google claims this compact model can run locally without specially designed hardware and outperforms all GPT-3.5 models.

Compared with previous Gemma models, Gemma 3 has expanded from around 8,200 tokens to 128,000. Google also unveiled a new offering for image safety, dubbed ShieldGemma 2, which integrates with ...

The release of an efficient AI model, Gemma 3, presents a new catalyst for Google. Read what Gemma 3 could mean for AI development and deployment.

At Google I/O Connect India 2025, Google also revealed that Invideo is transforming video creation by using Gemini models ...

Optimized for edge devices such as phones, tablets, laptops, desktops, or single cloud accelerators, Gemma 3n models are available in two sizes based on “effective” parameters, E2B and E4B.

The Gemma 3 Model is a collection of lightweight, state-of-the-art open models built from the same research and technology that powers Google’s Gemini 2.0 models.

In March, Google launched Gemma 3, which the company said can run on a single graphics processing unit or tensor processing unit. In March, it was known that Meta's Llama had hit 1 billion downloads.

The chart illustrates Gemma 2 2B’s superior performance compared to well-known models like GPT-3.5 and Llama 2, challenging the notion that bigger models are always better. (Image: Google) ...