Google 🇺🇸 · Gemma 4

Gemma 4 E2B

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

DOOM SCORE57.2out of 100model risk profile, not the overall index
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CURRENT ASSESSMENT · REVISION 4

Why this model scores 57.2

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 57.2 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.

NET MODEL-ATTRIBUTED INDEX CONTRIBUTION+0.05

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.

AUDIT TRAIL

Model score history

  1. R4
    Doom Score 57.2

    Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-142416 under temporal-monthly-pressure-v4.

    12 Aug 2026
  2. R3
    Doom Score 57.5

    Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-132112 under fixed-sensitivity-v3.

    12 Aug 2026
  3. R2
    Doom Score 58.4

    Full-corpus evidence recalculated after run intensive-backfill-20260811-191225 under bounded-corpus-v2.

    11 Aug 2026
  4. R1
    Doom Score 57.2

    New exact tier verified from dated primary launch.

    11 Aug 2026
SHARE THE FINDINGS

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DoomBench social sharing card for Gemma 4 E2B.
  1. Gemma 4 E2B by Google has a DoomBench model risk score of 57.2 out of 100, based on five transparent version-specific dimensions rather than the overall index.

  2. Gemma 4 E2B's highest current DoomBench dimension is deployment at 98.0 out of 100; the profile publishes every component score and its editorial rationale.

  3. DoomBench links 1 source-backed evidence item to Gemma 4 E2B, while keeping the model's risk profile separate from each item's contribution to the live Doom Index.

    https://www.doombench.com/models/google-deepmind-gemma-4-e2b