Model profile
Metadeveloper
2024-04-18release date
#214 / 312overall rank
16eval lineages
Evidence summary
Llama 3 8B Instruct has an estimated overall rank of #214; its 90% source-sensitivity interval is #119–#231. Its behavior-only rank is #198; company governance moves the combined estimate to #214. Published evidence spans 16 evals and 7 of 7 behavior components. Its strongest relative result is Microsoft Phi Safety Panels (harmful_summarization, #1 of 10); its weakest is Contextual MoralChoice (human_agreement, #21 of 22).
Compare this model
Only models sharing at least one published sub-eval are listed.
Official and reference links
- Artificial Analysis ↗llama-3-instruct-8b
- OpenRouter ↗meta-llama/llama-3-8b-instruct
- Official model page ↗Family-level model document · meta · first party
- 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 |
|---|---|---|---|---|
| AA-Omnisciencehallucination_rate | #251 / 330 | ↓0.8979 | Source ↗official | |
| AIRBench 2024 Safety Scenariossafety_scenarios | #35 / 80 | ↑0.709 | Source ↗official | |
| Contextual MoralChoicehuman_agreement | #21 / 22 | ↑0.3 | Source ↗official | |
| Enkrypt AI Safety Leaderboardbias_attack_non_success_rate | #105 / 241 | ↑17.19 | Source ↗official | |
| Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate | #159 / 241 | ↑85.83 | Source ↗official | |
| Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate | #50 / 241 | ↑89.16 | Source ↗official | |
| Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate | #113 / 239 | ↑96.45 | Source ↗official | |
| HELM Safetyanthropic_red_team | #41 / 80 | ↑0.988 | Source ↗official | |
| HELM Safetybbq | #70 / 80 | ↑0.765 | Source ↗official | |
| HELM Safetyharmbench | #43 / 80 | ↑0.727 | Source ↗official | |
| HELM Safetysimple_safety_tests | #29 / 80 | ↑0.993 | Source ↗official | |
| HELM Safetyxstest | #43 / 80 | ↑0.956 | Source ↗official | |
| JailBenchjailbreak_success_rate | #2 / 14 | ↓43.94 | Source ↗official | |
| Large-scale Moral Machine experiment on LLMshuman_choice_distance | #8 / 39 | ↓0.8324 | Source ↗official | |
| Microsoft Phi Safety Panelsharmful_continuation | #6 / 10 | ↓0.013 | Source ↗official | |
| Microsoft Phi Safety Panelsharmful_summarization | #1 / 10 | ↓0.082 | Source ↗official | |
| Microsoft Phi Safety Panelsjailbreak | #7 / 10 | ↓0.13 | Source ↗official | |
| Microsoft Phi Safety Panelsthird_party_harm | #7 / 10 | ↓0.373 | Source ↗official | |
| MT-JailBench CrescendoXsafety_score | #8 / 21 | ↑28.93 | Source ↗official | |
| MuPPET Contextual Privacymultiparty_contextual_privacy_score | #4 / 7 | ↑41.71 | Source ↗official | |
| OR-Benchover_refusal_rate | #15 / 25 | ↓69.4 | Source ↗official | |
| OR-Benchtoxic_acceptance_rate | #14 / 25 | ↓5 | Source ↗official | |
| S-Evalbase_en_overall | #8 / 22 | ↑69.1 | Source ↗official | |
| SORRY-Benchavg | #19 / 51 | ↓0.22 | Source ↗official |