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The LLM benchmark aggregator.
Gemma 2B IT
Google · 2B
Strongest in Harm refusal (#61 of 292, on 1 of its 2 boards), weakest in Human preference (#339 of 354). Above par in 2 of 8 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Opus 4.7 and ahead of Command R and Qwen2 7B Instruct.
§ 1 · Profile
What it is good at
Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.
Safety43.7−17.7#292/3291/3
Harm refusal55.6−5.9#61/2921/2
Jailbreak resistance51.8−13.2#159/2681/1
Toxicity avoidance26−33#259/2681/1
Secure code26−40.2#269/2701/1
Fairness38.3−31.7#276/2921/2
Human preference27.3−41.5#339/3541/1
Human preference27.3−41.5#339/3541/1
§ 2 · Head to head
What it beats, and what beats it
The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Gemma 2B IT, left for the other.
§ 3 · Sources
Where the numbers come from
2 publications, 7 figures. Every one links to the page it was read from.
LMArena Text 1094
Enkrypt · Jailbreak risk 11.3%Enkrypt · Harmful content risk 22.8%Enkrypt · CBRN risk 5.7%Enkrypt · Toxicity risk 29.6%Enkrypt · Bias risk 95.9%Enkrypt · Insecure code risk 95.6%
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[](https://publicai.io/model-index/m/gemma-2b-it)