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Model profile

Phi 3 Mini 4K Instruct

Microsoftdeveloper
2024-04-22release date
#157 / 348Safety rank
#493 / 663Freedom rank

Evidence summary

Safety. Phi 3 Mini 4K Instruct has an estimated Safety rank of #157; its 90% source-sensitivity interval is #32–#312. 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, #182 of 272).

Freedom. Phi 3 Mini 4K Instruct has an estimated Freedom rank of #493; its 90% source-sensitivity interval is #181–#609. 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 / 12↑78.62Source ↗official
Enkrypt AI Safety Leaderboardbias_attack_non_success_rate#182 / 272↑13.18Source ↗official
Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate#99 / 272↑89.5Source ↗official
Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate#129 / 272↑75.56Source ↗official
Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate#155 / 270↑95.77Source ↗official
Open LLM Safety Indexjailbreakbench_safety_rate#1 / 21↑0.8Source ↗official
Open LLM Safety Indexstrongreject_safety_rate#7 / 21↑0.5333Source ↗official
PandaBench JBB direct-request panelsafety_rate#28 / 46↑0.97Source ↗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 / 12↓78.62Source ↗official
Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate#172 / 272↓89.5Source ↗official
Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate#144 / 272↓75.56Source ↗official
Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate#116 / 270↓95.77Source ↗official
Open LLM Safety Indexjailbreakbench_safety_rate#20 / 21↓0.8Source ↗official
Open LLM Safety Indexstrongreject_safety_rate#15 / 21↓0.5333Source ↗official
PandaBench JBB direct-request panelsafety_rate#14 / 46↓0.97Source ↗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