Google DeepMind · Gemma 2

Gemma 2 9B IT

READER SUMMARY

Google DeepMind's instruction-tuned 9B Gemma 2 checkpoint, released for broadly accessible local and hosted conversational deployment.

DOOM SCORE53.9out of 100model risk profile, not the overall index

CURRENT ASSESSMENT · REVISION 1

Why this model scores 53.9

Instruction tuning increases practical capability and misuse potential, while small size, weights and ecosystem support make deployment exceptionally broad.

Capability53

Autonomy9

Deployment97

Misuse potential52

Control difficulty61

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MODEL-ATTRIBUTED EVIDENCE

News tied to Gemma 2 9B IT

The model score of 53.9 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 9B IT equal share: +0.01

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AUDIT TRAIL

Model score history

R1
Doom Score 53.9
New exact Gemma 2 9B instruction-tuned checkpoint.
12 Aug 2026