Google DeepMind · Gemma 4

Gemma 4 E2B

READER SUMMARY

Edge-scale Apache-licensed Gemma 4 tier for local multimodal and agentic workflows.

DOOM SCORE58.4out of 100model risk profile, not the overall index

CURRENT ASSESSMENT · REVISION 2

Why this model scores 58.4

Edge-scale permissive weights maximize distribution, but limited standalone breadth and autonomy constrain dangerous capability.

Capability60

Autonomy48

Deployment98

Misuse potential38

Control difficulty46

MODEL-ATTRIBUTED EVIDENCE

News tied to Gemma 4 E2B

The model score of 58.4 rates this model's risk profile. The overall Doom Index of 62.1 measures the recalibrated complete evidence corpus. These values answer different questions.

NET MODEL-ATTRIBUTED INDEX CONTRIBUTION+0.03

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.

02 Apr 2026DeploymentTOWARD

Google DeepMind releases four Apache-licensed Gemma 4 tiers for local agents

Google DeepMind released four exact Gemma 4 tiers under Apache 2.0 with function calling, multimodal input, local execution, and broad day-one tooling support.

Full item contribution: +0.11
Gemma 4 E2B equal share: +0.03

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AUDIT TRAIL

Model score history

R2
Doom Score 58.4
Full-corpus evidence recalculated after run intensive-backfill-20260811-191225 under bounded-corpus-v2.
11 Aug 2026
R1
Doom Score 57.2
New exact tier verified from dated primary launch.
11 Aug 2026