DiffusionGemma
DiffusionGemma is an experimental open-weight large language model developed by Google DeepMind for multimodal text generation through discrete diffusion.
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DiffusionGemma is an experimental open-weight large language model developed by Google DeepMind for multimodal text generation through discrete diffusion.
Gemma is a family of open-weight models developed by Google DeepMind. The family began in February 2024 with text-only decoder models derived from research used for Google's Gemini systems, then expanded to…
Gemma 2 is a family of open-weights large language models developed by Google DeepMind and released starting June 27, 2024, in three parameter sizes: 2 billion (2B), 9 billion (9B), and 27 billion (27B).
Gemma 3 is a family of open-weight large language models developed by Google DeepMind and released on March 12, 2025.
Gemma 3n is an open, mobile-first multimodal model from Google built to run locally on phones, tablets, laptops, and other resource-constrained hardware, accepting text, image, audio, and video as input and…
Gemma 4 is a family of open-weight multimodal models developed by Google DeepMind and released on April 2, 2026.
RecurrentGemma is a family of open-weight language models released by Google DeepMind that is built on the Griffin architecture rather than the standard Transformer.
SmolVLA (Small Vision-Language-Action) is a compact, open-source vision-language-action model (VLA) for robotics developed by Hugging Face and released in June 2025.