Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants.
Running this yourself: desktop gpu should be enough.
Their diverse sizes make them deployable in environments ranging from high-end phones to laptops and servers, democratizing access to state-of-the-art AI.
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59.5
Quality Score
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Arena ELO
12B
Parameters
128K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
19 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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102.9K
Downloads
769
Likes
May 2026
Released
5/5 signals
3/4 signals
4/5 signals
3/4 signals
4/4 signals
Parameters
12B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Source-reported access: Open weights (unrestricted) · Confident confidence
Gaps we are still tracking
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
google/gemma-4-12B · Hugging Face
Google published benchmark or leaderboard evidence for gemma-4-12B.
View source