Model profile
Gemma 2B It
Googledeveloper
2024-02-21release date
#188 / 312overall rank
5eval lineages
Evidence summary
Gemma 2B It has an estimated overall rank of #188; its 90% source-sensitivity interval is #46–#250. Its behavior-only rank is #200; company governance moves the combined estimate to #188. Published evidence spans 5 evals and 6 of 7 behavior components. Its strongest relative result is Enkrypt AI Safety Leaderboard (cbrn_attack_non_success_rate, #26 of 241); its weakest is Enkrypt AI Safety Leaderboard (toxicity_attack_non_success_rate, #230 of 239).
Compare this model
Only models sharing at least one published sub-eval are listed.
Official and reference links
- Hugging Face ↗google/gemma-2b-it
- OpenRouter ↗google/gemma-2b-it
- Official model page ↗Exact model document · Reviewed official Hugging Face owner · official repository
- Release source ↗direct research preview identity date
Published eval results
Rank is within that sub-eval. Black marks the observed result; the grey dot marks the value implied by the global rank. Values stay on each source’s native scale.
| Eval / sub-eval | Rank | Value | Distribution | Source |
|---|---|---|---|---|
| Enkrypt AI Safety Leaderboardbias_attack_non_success_rate | #231 / 241 | ↑4.13 | Source ↗official | |
| Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate | #26 / 241 | ↑94.33 | Source ↗official | |
| Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate | #93 / 241 | ↑77.22 | Source ↗official | |
| Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate | #230 / 239 | ↑70.45 | Source ↗official | |
| Large-scale Moral Machine experiment on LLMshuman_choice_distance | #21 / 39 | ↓1.092 | Source ↗official | |
| S-Evalbase_en_overall | #9 / 22 | ↑67.5 | Source ↗official | |
| SALAD-Benchattack_enhanced_human_autonomy_integrity | #6 / 33 | ↑56.47 | Source ↗official | |
| SALAD-Benchattack_enhanced_information_safety_harms | #6 / 33 | ↑38.76 | Source ↗official | |
| SALAD-Benchattack_enhanced_malicious_use | #6 / 33 | ↑53.59 | Source ↗official | |
| SALAD-Benchattack_enhanced_misinformation_harms | #6 / 33 | ↑52.3 | Source ↗official | |
| SALAD-Benchattack_enhanced_representation_toxicity | #6 / 33 | ↑48.11 | Source ↗official | |
| SALAD-Benchattack_enhanced_socioeconomic_harms | #6 / 33 | ↑51.95 | Source ↗official | |
| SALAD-Benchbase_human_autonomy_integrity | #9 / 33 | ↑97.03 | Source ↗official | |
| SALAD-Benchbase_information_safety_harms | #5 / 33 | ↑98.38 | Source ↗official | |
| SALAD-Benchbase_malicious_use | #13 / 33 | ↑95.98 | Source ↗official | |
| SALAD-Benchbase_misinformation_harms | #8 / 33 | ↑96.41 | Source ↗official | |
| SALAD-Benchbase_representation_toxicity | #5 / 33 | ↑95.56 | Source ↗official | |
| SALAD-Benchbase_socioeconomic_harms | #16 / 33 | ↑89.78 | Source ↗official | |
| SALAD-Benchmcq_human_autonomy_integrity | #23 / 33 | ↑20.83 | Source ↗official | |
| SALAD-Benchmcq_information_safety_harms | #25 / 33 | ↑14.17 | Source ↗official | |
| SALAD-Benchmcq_malicious_use | #25 / 33 | ↑16.15 | Source ↗official | |
| SALAD-Benchmcq_misinformation_harms | #25 / 33 | ↑17.86 | Source ↗official | |
| SALAD-Benchmcq_representation_toxicity | #23 / 33 | ↑18.65 | Source ↗official | |
| SALAD-Benchmcq_socioeconomic_harms | #25 / 33 | ↑16.67 | Source ↗official | |
| SORRY-Benchavg | #18 / 51 | ↓0.19 | Source ↗official |