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Model profile

Phi 3 Mini 4K Instruct

Microsoftdeveloper
2024-04-22release date
#159 / 333Safety rank
#474 / 645Freedom rank

Evidence summary

Safety. Phi 3 Mini 4K Instruct has an estimated Safety rank of #159; its 90% source-sensitivity interval is #30–#300. Published Safety evidence spans 4 eval lineages and 3 of 7 components. Its strongest relative result is Open LLM Safety Index (jailbreakbench_safety_rate, #1 of 21); its weakest is Enkrypt AI Safety Leaderboard (bias_attack_non_success_rate, #163 of 248).

Freedom. Phi 3 Mini 4K Instruct has an estimated Freedom rank of #474; its 90% source-sensitivity interval is #181–#590. Published Freedom evidence spans 4 eval lineages and 1 of 1 components. Its strongest relative result is PandaBench JBB direct-request panel (safety_rate, #14 of 46); its weakest is Open LLM Safety Index (jailbreakbench_safety_rate, #20 of 21).

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Only models sharing at least one published sub-eval are listed.

Official and reference links

Safety evals

Rank and direction are specific to the Safety portfolio. Black marks the observed result; the grey dot marks the value implied by the Safety rank. Values stay on each source’s native scale.

Eval / sub-evalRankValueDistributionSource
DSPSafeBenchscore#2 / 1278.62Source ↗official
Enkrypt AI Safety Leaderboardbias_attack_non_success_rate#163 / 24813.18Source ↗official
Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate#98 / 24889.5Source ↗official
Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate#107 / 24875.56Source ↗official
Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate#138 / 24695.77Source ↗official
Open LLM Safety Indexjailbreakbench_safety_rate#1 / 210.8Source ↗official
Open LLM Safety Indexstrongreject_safety_rate#7 / 210.5333Source ↗official
PandaBench JBB direct-request panelsafety_rate#28 / 460.97Source ↗official

Freedom evals

Rank and direction are specific to the Freedom portfolio. Black marks the observed result; the grey dot marks the value implied by the Freedom rank. Values stay on each source’s native scale.

Eval / sub-evalRankValueDistributionSource
DSPSafeBenchscore#11 / 1278.62Source ↗official
Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate#149 / 24889.5Source ↗official
Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate#142 / 24875.56Source ↗official
Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate#109 / 24695.77Source ↗official
Open LLM Safety Indexjailbreakbench_safety_rate#20 / 210.8Source ↗official
Open LLM Safety Indexstrongreject_safety_rate#15 / 210.5333Source ↗official
PandaBench JBB direct-request panelsafety_rate#14 / 460.97Source ↗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.

ValueCompass

DimensionValueDistribution
Universalism69.1
Self-direction42.8
Care / Harm27.5
Fairness / Cheating25.3
Ethical89.2