Gemma 2 9B Base
READER SUMMARYGoogle DeepMind's 9B-parameter Gemma 2 base checkpoint, released as downloadable weights with broad developer-tool and hardware support.
Why this model scores 47.1
Useful mid-sized base capability combines with easy local execution and open distribution, driving very high deployment and limited centralized control.
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News tied to Gemma 2 9B Base
The model score of 47.1 rates this model's risk profile. The overall Doom Index of 63.2 measures the recalibrated complete evidence corpus. These values answer different questions.
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.
Google releases Gemma Scope interpretability suite
Google DeepMind released more than 400 open sparse autoencoders covering every layer of Gemma 2 2B and 9B, alongside interactive tools and open ShieldGemma safety classifiers for model inputs and outputs.
- Full item contribution
- -0.05
- Gemma 2 9B Base equal share
- -0.03
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 Base equal share
- +0.01
Model score history
- R2Doom Score 47.1
Full-corpus evidence recalculated after run intensive-backfill-20260812-040700-july-2024-incremental under bounded-corpus-v2.
12 Aug 2026 - R1Doom Score 48.9
New exact Gemma 2 9B base checkpoint.
12 Aug 2026