@googleaidevs: We’re launching Gemma 4 12B: Our unified, encoder-free model that brings powerful multimodal intelligence straight to y…

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Summary

Google launches Gemma 4 12B, an encoder-free multimodal model with native audio support, optimized for local execution on laptops under Apache 2.0.

We’re launching Gemma 4 12B: Our unified, encoder-free model that brings powerful multimodal intelligence straight to your laptop The model bridges the gap between our mobile E4B model and larger 26B MoE models, packaging frontier-class reasoning and native audio into a highly optimized footprint, all under a permissive Apache 2.0 license. Here’s what makes it unique: + Encoder-Less Architecture: We removed the multimodal encoders. The vision and audio inputs flow directly into the LLM backbone. + Agentic Performance (16GB VRAM): Run complex, multi-step workflows locally, with performance nearing our 26B model.
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We’re launching Gemma 4 12B: Our unified, encoder-free model that brings powerful multimodal intelligence straight to your laptop

The model bridges the gap between our mobile E4B model and larger 26B MoE models, packaging frontier-class reasoning and native audio into a highly optimized footprint, all under a permissive Apache 2.0 license.

Here’s what makes it unique:

  • Encoder-Less Architecture: We removed the multimodal encoders. The vision and audio inputs flow directly into the LLM backbone.
  • Agentic Performance (16GB VRAM): Run complex, multi-step workflows locally, with performance nearing our 26B model.

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Introducing Gemma 4 12B: a unified, encoder-free multimodal model

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Google DeepMind announces Gemma 4 12B, a novel encoder-free multimodal AI model that integrates vision and audio directly into the LLM backbone, delivering advanced reasoning and agentic capabilities on laptops with 16GB of RAM, released under Apache 2.0 license.

Google Gemma 4 12B

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Google's Gemma 4 12B model enables local multimodal AI using an encoder-free architecture.