Google DeepMind · Gemma 3

Gemma 3 1B IT

READER SUMMARY

The instruction-tuned 1B Gemma 3 checkpoint for lightweight local assistants and applications.

DOOM SCORE45.4out of 100model risk profile, not the overall index

CURRENT ASSESSMENT · REVISION 1

Why this model scores 45.4

Instruction tuning raises usefulness and limited agency while tiny size maximizes deployment. Open distribution raises downstream control difficulty.

Capability38

Autonomy10

Deployment100

Misuse potential34

Control difficulty54

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MODEL-ATTRIBUTED EVIDENCE

News tied to Gemma 3 1B IT

The model score of 45.4 rates this model's risk profile. The overall Doom Index of 63.5 measures the recalibrated complete evidence corpus. These values answer different questions.

NET MODEL-ATTRIBUTED INDEX CONTRIBUTION+0.00

Each article's leave-one-out 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 are recalculated from their technical profile and related news, but never feed back into the overall index.

12 Mar 2025CapabilityTOWARD

Google releases eight Gemma 3 open model checkpoints

Google released Gemma 3 base and instruction-tuned checkpoints at 1B, 4B, 12B and 27B sizes, with multimodal reasoning, long context and broad local and cloud distribution.

Full item contribution: +0.03
Gemma 3 1B IT equal share: +0.00

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AUDIT TRAIL

Model score history

R1
Doom Score 45.4
Initial exact profile for the separately released 1B instruction checkpoint.
12 Aug 2026