Google DeepMind · Gemma 2

Gemma 2 2B IT

READER SUMMARY

The instruction-tuned checkpoint of Google's Gemma 2 2B open model for conversational use across local, edge and hosted deployments.

DOOM SCORE44.8out of 100model risk profile, not the overall index

CURRENT ASSESSMENT · REVISION 1

Why this model scores 44.8

Instruction tuning increases practical usefulness modestly, while tiny hardware requirements and downloadable weights make deployment and modification nearly universal.

Capability35

Autonomy6

Deployment99

Misuse potential34

Control difficulty51

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MODEL-ATTRIBUTED EVIDENCE

News tied to Gemma 2 2B IT

The model score of 44.8 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.

31 Jul 2024DeploymentTOWARD

Google releases open Gemma 2 2B models

Google released Gemma 2 2B base and instruction models for local, edge and cloud use, with commercially usable downloadable weights, broad framework support and availability through hosted model services.

Full item contribution: +0.01
Gemma 2 2B IT equal share: +0.01

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AUDIT TRAIL

Model score history

R1
Doom Score 44.8
New exact Gemma 2 2B instruction checkpoint.
12 Aug 2026