Phi-3 Vision: Complete Benchmark Performance Guide

other phi-3-vision 2024-05-21 MIT

In-depth analysis of Phi-3 Vision performance on MMLU, HumanEval, GSM8K, MATH, BBH benchmarks, including pricing and use cases.

Key Specifications

Vendorother
Versionphi-3-vision
Release Date2024-05-21
Context Window4096 tokens
Input Modalitiestext, image
Output Modalitiestext
LicenseMIT
Documentationhttps://huggingface.co/models

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU56.4%2024-05-215-shotview
HUMANEVAL48.2pass@12024-05-21—view
GSM8K30%2024-05-210-shot CoTview
MATH24.3%2024-05-210-shot CoTview
BBH40.1%2024-05-213-shot CoTview
GPQA17.4%2024-05-210-shotview
IFEVAL56.4%2024-05-21prompt_strictview
ARC77.4%2024-05-21challengeview
MUSR32.1%2024-05-210-shotview
WINOGRANDE74.7%2024-05-210-shotview

Pricing

TierPriceCurrency
Input$0.2 / MtokUSD
Output$0.2 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://huggingface.co/models · as of 2024-05-21

Compliance

  • Data Residency: self-host
  • SOC2: ✗
  • HIPAA: ✗
  • GDPR: ✗
  • ISO 27001: ✗

Phi-3 Vision

Modeloverzicht

Microsoft Phi-3 Vision 4.2B 多模态模型, 4K 上下文, 支持图像理解, 在 4B 规模上多模态能力领先。

Kernspecificaties

LeverancierVersieReleasedatumContextvensterInvoermodaliteitenUitvoermodaliteitenLicentie
Otherphi-3-vision2024-05-214Ktext, imagetextMIT

Benchmarkprestaties

BenchmarkScoreEenheidNotities
MMLU (Massive Multitask Language Understanding)56.4%5-shot
HumanEval48.2pass@1—
GSM8K (Grade School Math 8K)30.0%0-shot CoT
MATH24.3%0-shot CoT
BBH (BIG-Bench Hard)40.1%3-shot CoT
GPQA17.4%0-shot
IFEval56.4%prompt_strict
ARC77.4%challenge
MUSR32.1%0-shot
WinoGrande74.7%0-shot

Prijzen

InvoerUitvoerCache-lezenCache-schrijven
————

per miljoen tokens

Sterktes

  • 支持文本、图像、音频多模态输入。

Zwaktes

  • MMLU 仅 56.4，知识推理偏弱。
  • HumanEval 48.2，代码能力较弱。
  • 闭源专有模型，不支持自托管。
  • 上下文窗口 4K 偏小。

Gebruiksscenario’s

  • 视觉与图像理解

Referenties