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Gemma 4 12B

Gemma 4 12B is an open-weight language model from Google DeepMind, released on June 3, 2026.

Developer
Google DeepMind
Released
June 3, 2026
Total parameters
11.95B
Architecture
Dense
Context window
256K
Input
Text, image, audio
License
Apache 2.0
Commercial use
Yes
Official weights, GB
23.9 GB
Hugging Face repository
huggingface.co
Checked on

Gemma 4 12B is a dense model with 11.95B parameters. Google DeepMind lists a context window of 256K tokens. The model accepts text, image and audio input. The weights are released under Apache 2.0, which allows commercial use. The official weights on Hugging Face take about 23.9 GB in BF16. Running the model needs at least that much memory across GPUs and system RAM, plus room for the context cache; quantized versions need less.

Total parameters, billions
11.95B
Context window, tokens
256K
License type
Apache 2.0
License conditions
Apache 2.0: keep the license and notices; no limits on field of use or number of users. Gemma 4 is the first Gemma generation under Apache 2.0; earlier versions used the Gemma Terms of Use.
Weights precision
BF16
Official quantized or alternative versions
google/gemma-4-12B-it-qat-q4_0-gguf; google/gemma-4-12B-it-qat-q4_0-unquantized; google/gemma-4-12B-it-qat-w4a16-ct
License text
ai.google.dev
Sources
PageURL
Hugging Face model cardhttps://huggingface.co/google/gemma-4-31B-it/raw/main/README.md
blog.google announcementhttps://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
opensource.googleblog.com announcementhttps://opensource.googleblog.com/2026/03/gemma-4-expanding-the-gemmaverse-with-apache-20.html
Hugging Face APIhttps://huggingface.co/api/models?author=google&search=gemma-4
blog.google announcementhttps://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12b/

Questions

What license does Gemma 4 12B use?
The weights are released under Apache 2.0, which allows commercial use. Gemma 4 is the first Gemma generation under Apache 2.0; earlier versions used the Gemma Terms of Use.
Can I use Gemma 4 12B commercially?
Yes. Keep the license and notices; there are no limits on field of use or number of users.
How much memory does Gemma 4 12B need?
The official Gemma 4 12B weights take about 23.9 GB (BF16). Google also publishes quantization-aware 4-bit versions, including a GGUF build, which need less. The memory calculator checks which setups fit.
How many parameters does Gemma 4 12B have?
Gemma 4 12B is a dense model with 11.95B parameters and a context window of 256K tokens.

Sources

Every figure comes from the developer’s model card, license text and official announcements, and from the model’s Hugging Face repository metadata. Each model page lists its sources and the date they were checked; the register is rechecked every week.

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