Google DeepMind · Gemma 2

Gemma 2 27B Base

READER SUMMARY

Google DeepMind's 27B-parameter Gemma 2 base checkpoint, released as downloadable weights with broad cloud and local ecosystem support.

DOOM SCORE54.2out of 100model risk profile, not the overall index

CURRENT ASSESSMENT · REVISION 1

Why this model scores 54.2

Stronger general capability and open distribution raise misuse and control difficulty, with manageable serving needs supporting wide deployment.

Capability58

Autonomy4

Deployment94

Misuse potential52

Control difficulty63

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MODEL-ATTRIBUTED EVIDENCE

News tied to Gemma 2 27B Base

The model score of 54.2 rates this model's risk profile. The overall Doom Index of 63.2 measures the recalibrated complete evidence corpus. These values answer different questions.

NET MODEL-ATTRIBUTED INDEX CONTRIBUTION+0.01

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.

27 Jun 2024CapabilityTOWARD

Google releases Gemma 2 9B and 27B open models

Google released Gemma 2 base and instruction-tuned checkpoints at 9B and 27B parameters, with downloadable weights, broad toolchain support and immediate access through AI Studio and other platforms.

Full item contribution: +0.03
Gemma 2 27B Base equal share: +0.01

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AUDIT TRAIL

Model score history

R1
Doom Score 54.2
New exact Gemma 2 27B base checkpoint.
12 Aug 2026