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Model profile

Phi 3.5 MoE Instruct

Microsoftdeveloper
2024-08-22release date
#45 / 346Safety rank
#623 / 662Freedom rank

Evidence summary

Safety. Phi 3.5 MoE Instruct has an estimated Safety rank of #45; its 90% source-sensitivity interval is #8–#204. Its behavior-only rank is #35; company governance moves the combined estimate to #45. Published Safety evidence spans 5 eval lineages and 6 of 7 components. Its strongest relative result is PandaBench JBB direct-request panel (safety_rate, #1 of 46); its weakest is Microsoft Phi Safety Panels (harmful_summarization, #8 of 10).

Freedom. Phi 3.5 MoE Instruct has an estimated Freedom rank of #623; its 90% source-sensitivity interval is #473–#637. Published Freedom evidence spans 4 eval lineages and 1 of 1 components. Its strongest relative result is Microsoft Phi Safety Panels (harmful_summarization, #3 of 10); its weakest is Microsoft Phi Safety Panels (third_party_harm, #10 of 10).

Compare this model

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
AILuminate General Purpose AI Chatchild_sexual_exploitation#5 / 32↓8.2Source ↗official
AILuminate General Purpose AI Chatdefamation#5 / 32↓3.9Source ↗official
AILuminate General Purpose AI Chathate#5 / 32↓2.5Source ↗official
AILuminate General Purpose AI Chatindiscriminate_weapons_cbrne#4 / 32↓6.7Source ↗official
AILuminate General Purpose AI Chatintellectual_property#6 / 32↓4.5Source ↗official
AILuminate General Purpose AI Chatnon_violent_crimes#3 / 32↓4.5Source ↗official
AILuminate General Purpose AI Chatprivacy#5 / 32↓4.5Source ↗official
AILuminate General Purpose AI Chatsex_related_crimes#3 / 32↓3.7Source ↗official
AILuminate General Purpose AI Chatsexual_content#4 / 32↓4.7Source ↗official
AILuminate General Purpose AI Chatspecialized_advice#4 / 32↓6.9Source ↗official
AILuminate General Purpose AI Chatsuicide_self_harm#4 / 32↓3.7Source ↗official
AILuminate General Purpose AI Chatviolent_crimes#3 / 32↓5Source ↗official
Enkrypt AI Safety Leaderboardbias_attack_non_success_rate#152 / 270↑14.99Source ↗official
Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate#134 / 270↑87.33Source ↗official
Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate#124 / 270↑76.11Source ↗official
Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate#59 / 268↑98.32Source ↗official
Large-scale Moral Machine experiment on LLMshuman_choice_distance#16 / 39↓0.9383Source ↗official
Microsoft Phi Safety Panelsharmful_continuation#2 / 10↓0.004Source ↗official
Microsoft Phi Safety Panelsharmful_summarization#8 / 10↓0.12Source ↗official
Microsoft Phi Safety Panelsjailbreak#2 / 10↓0.11Source ↗official
Microsoft Phi Safety Panelsthird_party_harm#1 / 10↓0.152Source ↗official
PandaBench JBB direct-request panelsafety_rate#1 / 46↑1Source ↗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
AILuminate General Purpose AI Chatchild_sexual_exploitation#28 / 32↑8.2Source ↗official
AILuminate General Purpose AI Chatdefamation#28 / 32↑3.9Source ↗official
AILuminate General Purpose AI Chathate#28 / 32↑2.5Source ↗official
AILuminate General Purpose AI Chatindiscriminate_weapons_cbrne#29 / 32↑6.7Source ↗official
AILuminate General Purpose AI Chatintellectual_property#27 / 32↑4.5Source ↗official
AILuminate General Purpose AI Chatnon_violent_crimes#30 / 32↑4.5Source ↗official
AILuminate General Purpose AI Chatprivacy#28 / 32↑4.5Source ↗official
AILuminate General Purpose AI Chatsex_related_crimes#30 / 32↑3.7Source ↗official
AILuminate General Purpose AI Chatsexual_content#29 / 32↑4.7Source ↗official
AILuminate General Purpose AI Chatspecialized_advice#29 / 32↑6.9Source ↗official
AILuminate General Purpose AI Chatsuicide_self_harm#29 / 32↑3.7Source ↗official
AILuminate General Purpose AI Chatviolent_crimes#30 / 32↑5Source ↗official
Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate#133 / 270↓87.33Source ↗official
Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate#145 / 270↓76.11Source ↗official
Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate#208 / 268↓98.32Source ↗official
Microsoft Phi Safety Panelsharmful_continuation#9 / 10↑0.004Source ↗official
Microsoft Phi Safety Panelsharmful_summarization#3 / 10↑0.12Source ↗official
Microsoft Phi Safety Panelsjailbreak#9 / 10↑0.11Source ↗official
Microsoft Phi Safety Panelsthird_party_harm#10 / 10↑0.152Source ↗official
PandaBench JBB direct-request panelsafety_rate#35 / 46↓1Source ↗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
Universalism78.7
Self-direction52.4
Care / Harm30.3
Fairness / Cheating28.1
Ethical90.8