DolphinGemma: Google DeepMind LLM for Decoding Dolphin Communication
Google DeepMind has developed DolphinGemma, a large language model designed to help scientists analyze and decode dolphin communication patterns. The model is being applied to the scientific challenge of understanding cetacean vocalizations. This represents a novel application of LLM-based sequence modeling to non-human animal communication research.
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CodeGemma - Google's Official Code-Focused LLM Release
Google has released CodeGemma, a family of code-specialized large language models, announced via the Hugging Face blog. CodeGemma builds on the Gemma model family and is targeted at code generation and understanding tasks. The release represents Google's continued push into open-weights code LLMs to compete with models like Code Llama and DeepSeek Coder.
PaliGemma – Google's Cutting-Edge Open Vision Language Model
Google released PaliGemma, an open-weights vision-language model built on the PaLI architecture combined with Gemma language components. The model is hosted and documented on Hugging Face, making it accessible for research and fine-tuning. PaliGemma targets multimodal tasks including image captioning, visual question answering, and object detection.
Welcome Gemma - Google's new open LLM
Google released Gemma, a family of open-weight large language models, announced via the Hugging Face blog. The models are positioned as Google's entry into the open-weights LLM space, following the success of models like Llama 2. This release marks a significant strategic move by Google to compete in the open-source AI ecosystem.
T5Gemma: A new collection of encoder-decoder Gemma models
DeepMind has announced T5Gemma, a new collection of encoder-decoder large language models under the Gemma family. The release extends the Gemma model line beyond its existing decoder-only architecture to include encoder-decoder variants, following the T5 paradigm. Further technical details are sparse in the announcement but the models represent a notable architectural expansion of the open Gemma ecosystem.
Welcome Gemma 3: Google's All-New Multimodal, Multilingual, Long-Context Open LLM
Google has released Gemma 3, a new family of open-weights large language models featuring multimodal capabilities, multilingual support, and extended context windows. The Hugging Face blog post introduces the model family and its key features. Gemma 3 represents a significant update to Google's open-weights model line, expanding beyond text-only capabilities to include vision and broader language coverage.
Welcome Gemma 2 - Google's new open LLM
Google released Gemma 2, a new open-weights large language model, announced via the Hugging Face blog. The post covers integration with the Hugging Face ecosystem and highlights the model's capabilities. Gemma 2 represents Google's continued investment in open-weight model releases to compete in the open-source LLM space.
Google DeepMind releases Gemma 4 12B, a unified encoder-free multimodal open model
Google DeepMind has released Gemma 4 12B, a new open-weights multimodal model that uses a unified, encoder-free architecture. The model is positioned as a capable multimodal system at the 12B parameter scale. This is notable as an open-weights release from a frontier lab with an architectural distinction — eliminating the separate vision encoder common in most multimodal models.
DeepMind Launches 27B Parameter Gemma-Based Foundation Model for Single-Cell Analysis
DeepMind has released a new 27 billion parameter foundation model built on the Gemma open-model family, specifically designed for single-cell biological analysis. The model contributed to the discovery of a new potential cancer therapy pathway. This represents a significant application of large language model architecture to computational biology and genomics research.