What is Gemma 4 12B?
Dev.to / 6/4/2026
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Key Points
- Google released Gemma 4 12B on June 3, 2026, an open-weights, 11.95B-parameter multimodal model that outputs text from text, image, audio, and video inputs.
- Unlike many multimodal models, it uses an encoder-free unified approach by feeding raw image patches and audio waveforms directly into the model, removing separate vision and audio encoders.
- Developers can use a single 12B model checkpoint to handle multiple input modalities, potentially simplifying deployment and enabling fully offline runs.
- The model is offered under Apache 2.0 and is designed to run locally on hardware with 16GB memory (around 8GB at 4-bit), with variants including a base model and an instruction-tuned chat variant (gemma-4-12B-it).
- The article provides guidance on where Gemma 4 12B fits architecturally and how its design affects building local multimodal workflows.
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