Model profile
Llama 3.2 Instruct 11B Vision
Metadeveloper
#178 / 267overall rank
3eval lineages
Evidence summary
Llama 3.2 Instruct 11B Vision has an estimated overall rank of #178; its 90% source-sensitivity interval is #65–#236. Its behavior-only rank is #185; company governance moves the combined estimate to #178. Published evidence spans 3 evals and 4 of 7 behavior components. Its strongest relative result is Enkrypt AI Safety Leaderboard (toxicity_attack_non_success_rate, #56 of 258); its weakest is Enkrypt AI Safety Leaderboard (bias_attack_non_success_rate, #172 of 260).
Compare this model
Only models sharing at least one published sub-eval are listed.
Official and reference links
- Artificial Analysis ↗llama-3-2-instruct-11b-vision
- Official model page ↗Family-level model document · meta · first party
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 | Better | Source |
|---|---|---|---|---|---|
| AA-Omnisciencehallucination_rate | #167 / 311 | 0.8161 | ↓ lower | Source ↗official | |
| Cisco AI Defense Rolling Single-Turn Leaderboardsingle_turn_attack_success_rate | #62 / 105 | 49.05 | ↓ lower | Source ↗official | |
| Enkrypt AI Safety Leaderboardbias_attack_non_success_rate | #172 / 260 | 13.18 | ↑ higher | Source ↗official | |
| Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate | #77 / 260 | 90.83 | ↑ higher | Source ↗official | |
| Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate | #74 / 260 | 85.56 | ↑ higher | Source ↗official | |
| Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate | #56 / 258 | 98.55 | ↑ higher | Source ↗official |