Model profile
Llama 3.2 1B Instruct
Evidence summary
Llama 3.2 1B Instruct has an estimated overall rank of #289; its 90% source-sensitivity interval is #215–#302. Its behavior-only rank is #277; company governance moves the combined estimate to #289. Published evidence spans 9 evals and 6 of 7 behavior components. Its strongest relative result is Enkrypt AI Safety Leaderboard (harmful_attack_non_success_rate, #46 of 241); its weakest is ThaiSafetyBench (safety_score, #18 of 18).
Compare this model
Only models sharing at least one published sub-eval are listed.
Official and reference links
- Artificial Analysis ↗llama-3-2-instruct-1b
- Hugging Face ↗meta-llama/Llama-3.2-1B-Instruct
- NVIDIA ↗qc69jvmznzxy/llama-3.2-1b-instruct
- OpenRouter ↗meta-llama/llama-3.2-1b-instruct
- 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 |
|---|---|---|---|---|
| AA-Omnisciencehallucination_rate | #96 / 330 | ↓0.6634 | Source ↗official | |
| AgentDrive Safety Compliancescr | #47 / 48 | ↑40 | Source ↗official | |
| BlueBench AttaQ-100attaq_harmlessness_reward_pct | #14 / 18 | ↑83 | Source ↗official | |
| Cisco AI Defense Rolling Single-Turn Leaderboardsingle_turn_attack_success_rate | #38 / 104 | ↓21.39 | Source ↗official | |
| Enkrypt AI Safety Leaderboardbias_attack_non_success_rate | #231 / 241 | ↑4.13 | Source ↗official | |
| Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate | #119 / 241 | ↑88.33 | Source ↗official | |
| Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate | #46 / 241 | ↑91.11 | Source ↗official | |
| Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate | #47 / 239 | ↑98.82 | Source ↗official | |
| Large-scale Moral Machine experiment on LLMshuman_choice_distance | #25 / 39 | ↓1.182 | Source ↗official | |
| Open LLM Safety Indexjailbreakbench_safety_rate | #14 / 21 | ↑0.2667 | Source ↗official | |
| Open LLM Safety Indexstrongreject_safety_rate | #14 / 21 | ↑0.1333 | Source ↗official | |
| PandaBench JBB direct-request panelsafety_rate | #14 / 46 | ↑0.99 | Source ↗official | |
| ThaiSafetyBenchsafety_score | #18 / 18 | ↑62.34 | Source ↗official |
Values evaluations
Descriptive values and political-framing results are separate from safety/ethics ranks. Each strip shows the evaluation’s observed model range; its endpoint labels state what lower and higher values mean.