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.
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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.
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.
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.
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.
Google releases Gemma 2 2B, ShieldGemma and Gemma Scope
Google released three new additions to the Gemma ecosystem: Gemma 2 2B, a small open-weights language model; ShieldGemma, a safety-focused classifier model; and Gemma Scope, an interpretability toolset. These releases expand the Gemma family with a smaller, more accessible model alongside dedicated safety and interpretability infrastructure. The announcement was published on the Hugging Face blog, indicating integration with the HF ecosystem.
Welcome PaliGemma 2 – New vision language models by Google
Google has released PaliGemma 2, a new family of vision-language models announced via the Hugging Face blog. The release follows the original PaliGemma and represents an updated generation of Google's open-weights multimodal models. The blog post covers model capabilities, sizes, and integration with the Hugging Face 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.
PaliGemma 2 Mix - New Instruction Vision Language Models by Google
Google has released PaliGemma 2 Mix, a new set of instruction-tuned vision-language models announced via the Hugging Face blog. The models appear to be fine-tuned variants of PaliGemma 2 optimized for instruction following in multimodal contexts. This release extends Google's PaliGemma family of open-weights vision-language models.