Google’s Gemma 3 has inspired a variety of video reviews of its ability to edit photos, understand images & perform above industry standard benchmarks, despite its full resolution variant coming in at a compact 55GB. While still too large for most standalone Nvidia GPU’s, Gemma 3’s relatively smaller size does it put it within reach for many Mac users with 64GB or 96GB of unified memory/RAM.
(For comparison, Deepseek-R1 quantized at full resolution comes in at 1.3TB)
Sources & Excerpts
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Introducing Gemma 3: The most capable model you can run on a single GPU or TPU
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"Today, we're introducing Gemma 3, a collection of lightweight, state-of-the-art open models built from the same research and technology that powers our Gemini 2.0 models. These are our most advanced, portable and responsibly developed open models yet. They are designed to run fast, directly on devices — from phones and laptops to workstations — helping developers create AI applications, wherever people need them. Gemma 3 comes in a range of sizes (1B, 4B, 12B and 27B), allowing you to choose the best model for your specific hardware and performance needs."
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