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Google's open-weights 12B multimodal (text and image input) instruction-tuned model from the Gemma 3 family.

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Gemma 3 12B at a glance

What is Gemma 3 12B?
Gemma 3 12B is a model from Google. Google's open-weights 12B multimodal (text and image input) instruction-tuned model from the Gemma 3 family.
Who makes Gemma 3 12B?
Gemma 3 12B is made by Google.
Does Gemma 3 12B work in the EU?
Available in the EU. Weights are downloadable from Hugging Face without regional restriction, and the Gemma license does not exclude the EU. No explicit EU exclusion found in the provided material. Last verified 14 Nov 2026.
How much does Gemma 3 12B cost?
Open source. Weights free to download under the Gemma license; hosted API pricing varies by provider. Licence: Gemma Terms of Use.
Where was Gemma 3 12B shown?
In 1 creator video by Matt Wolfe. Most recently by Matt Wolfe on 17 Jun 2026, at 7:46 in “I Tried PewDiePie’s Odysseus AI So You Don’t Have To (Its FREE)”.

Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.

About

Gemma 3 12B is a mid-sized member of Google DeepMind's Gemma 3 family of open-weights models, built from the same research and technology as Gemini. The instruction-tuned checkpoint (gemma-3-12b-it) accepts text and image input and produces text output. Weights are distributed through Hugging Face and other platforms under the Gemma license.

It is sized to run on a single consumer GPU or a well-equipped laptop, especially when quantized, and is supported by common local runtimes such as Ollama, as well as by the JAX gemma library and Hugging Face Transformers. It can be fine-tuned with standard techniques such as LoRA.

A YouTube reviewer running it locally through Ollama found it fast and able to answer basic questions, but much weaker than frontier proprietary models such as GPT-5.5 on tasks like SVG generation and trick questions. Google has since released newer Gemma generations (Gemma 4), so Gemma 3 12B is no longer the latest in the family.

Key features
  • Open-weights instruction-tuned checkpoint (gemma-3-12b-it)
  • Multimodal input: text and images, text output
  • Runs locally on consumer hardware, especially when quantized
  • Fine-tunable via JAX gemma library, Transformers, LoRA
  • Supported by local runtimes such as Ollama
1 moment

As seen on YouTube

Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.

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