

Google Gemma
A family of lightweight, state-of-the art open models built from the same research and technology that we used to create the Gemini models.
Features
Properties
- Lightweight
- AI-Powered
Features
- AI Writing
- AI Chatbot
- Chatbot Builder
Google Gemma News & Activities
Recent News
- Fla published news article about Ollama
Gemma 4 is now up to 90% faster on Apple Silicon in Ollama 0.31Ollama 0.31 introduces a substantial speed boost for Gemma 4, with Apple Silicon users seeing nearl...
- POX published news article about Google Gemma
Google unveils DiffusionGemma, delivering up to 4x faster inference on dedicated GPUsGoogle has released DiffusionGemma, a new experimental open model employing text diffusion to accel...
- Maoholguin published news article about Google Gemma
Google launches new open Gemma 4 12B multimodal model for laptops with 16 GB of RAMGoogle DeepMind has introduced Gemma 4 12B, a new 12 billion parameter open AI model designed to ru...
Recent activities
ronnakamoto added Google Gemma as alternative to Parallely- fisherman added Google Gemma as alternative to ZeroSignal
- Morzilla added Google Gemma as alternative to hAIve Mix
- Animica added Google Gemma as alternative to Animica
foramseo added Google Gemma as alternative to Michael AAI
c17s5qhu added Google Gemma as alternative to geminiAssist
Entlegnant added Google Gemma as alternative to Leiolai
vanhelsin added Google Gemma as alternative to Van Helsin
ilikemacos added Google Gemma as alternative to cs.AI
Yingsuan added Google Gemma as alternative to Yingsuan AI
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What is Google Gemma?
Gemma is a family of lightweight, state-of-the-art open models to assist developers and researchers in building AI responsibly, built from the same research and technology used to create the models that powers the
Google Gemini chatbot (formerly Bard) and AI-related tools for Workspace (formerly
Google Duet AI).
Gemma is available in two different sizes — Gemma 2B and Gemma 7B — which both come with pre-trained and instruction-tuned variants and are both lightweight enough to run directly on a developer's laptop or desktop computer, with CPU or GPU — and
Google Cloud Platform with GPU and TPU acceleration. They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants.
The models area available via
Kaggle, Hugging Face, Nvidia’s NeMo, and Google’s
Vertex AI




