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Model profile

Phi 3 Mini 4K Instruct

Microsoftdeveloper
2024-04-22release date
#145 / 312overall rank
4eval lineages

Evidence summary

Phi 3 Mini 4K Instruct has an estimated overall rank of #145; its 90% source-sensitivity interval is #26–#277. Its behavior-only rank is #147; company governance moves the combined estimate to #145. Published evidence spans 4 evals and 3 of 7 behavior 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, #156 of 241).

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

Official and reference links

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-evalRankValueDistributionSource
DSPSafeBenchscore#2 / 1278.62Source ↗official
Enkrypt AI Safety Leaderboardbias_attack_non_success_rate#156 / 24113.18Source ↗official
Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate#99 / 24189.5Source ↗official
Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate#98 / 24175.56Source ↗official
Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate#133 / 23995.77Source ↗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

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