Google DeepMind's Gemma 4 26B IT: Open Multimodal AI Model Released on Hugging Face
Summary
This article presents the Gemma 4 26B IT model on Hugging Face, an open multimodal AI model built by Google DeepMind. It handles text and image inputs, processes video as frame sequences, and generates text output. The model is designed for reasoning, agentic workflows, coding, and multimodal understanding on consumer GPUs and workstations, featuring a 256K-token context window, support for over 140 languages, and a hybrid attention mechanism combining local sliding-window and full global attention with unified Keys and Values.
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Key quotes
· 3 pulledGemma 4 26B IT is an open multimodal model built by Google DeepMind that handles text and image inputs, can process video as sequences of frames, and generates text output.
It is designed to deliver frontier-level performance for reasoning, agentic workflows, coding, and multimodal understanding on consumer GPUs and workstations.
The model uses a hybrid attention mechanism that interleaves local sliding-window and full global attention, with unified Keys and Values.
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