Gemma 3n
Google's open multimodal Gemma model preview optimized for efficient local operation on consumer devices.
0 comments · 0 votes
Sign in to join the discussion →
No comments yet. Start the discussion.
Why this model scores 55.8
Open local multimodal operation creates very broad offline deployment and weak centralized control. Its compact scale and preview capability limit autonomy and frontier misuse relative to larger models.
News tied to Gemma 3n
The model score of 55.8 rates this model's risk profile. The overall Doom Index of 67.9 measures the complete temporally weighted evidence record. These values answer different questions.
Each article's current Doom Index contribution is divided equally among the exact models named on that article. This prevents multi-model evidence from being claimed in full on several model pages. Model risk scores use a bounded temporal offset around their technical profile, but never feed back into the overall index.
Google previews open multimodal Gemma 3n for phones and laptops
Google released a Gemma 3n preview through AI Studio and AI Edge, providing an open multimodal model engineered to run locally on phones, tablets and laptops with nested 2B and 4B footprints.
- Full item contribution
- +0.10
- Gemma 3n equal share
- +0.10
Model score history
-
R4
Doom Score 55.8
Source-backed model availability audit using the model's existing primary or authoritative catalogue evidence. Exact-version evidence chronology replayed under temporal-monthly-pressure-v4.
12 Aug 2026 -
R3
Doom Score 55.8
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-142416 under temporal-monthly-pressure-v4.
12 Aug 2026 -
R2
Doom Score 56.6
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-132112 under fixed-sensitivity-v3.
12 Aug 2026 -
R1
Doom Score 59.0
Initial exact profile for the Gemma 3n preview.
12 Aug 2026