Key Specifications

Vendormeta
Version3.2-11b-vision
Release Date2024-09-25
Context Window128000 tokens
Input Modalitiestext, image
Output Modalitiestext
LicenseLlama 3.2 Community License
Documentationhttps://llama.meta.com/docs/

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU61.9%2024-09-255-shotview
HUMANEVAL50.1pass@12024-09-25view
GSM8K68.2%2024-09-250-shot CoTview
MATH29.9%2024-09-250-shot CoTview
BBH69.1%2024-09-253-shot CoTview
GPQA35.5%2024-09-250-shotview
IFEVAL58.4%2024-09-25prompt_strictview
ARC86%2024-09-25challengeview
MUSR41.7%2024-09-250-shotview
WINOGRANDE72.7%2024-09-250-shotview

Pricing

TierPriceCurrency
Input$0.55 / MtokUSD
Output$0.55 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://ai.meta.com/blog/ · as of 2024-09-25

Compliance

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

Llama 3.2 11B Vision

Visão geral do modelo

Meta Llama 3.2 11B Vision 经济型多模态开源模型, 128K 上下文, 11B 参数, 适合边缘视觉任务。

Especificações principais

FornecedorVersãoData de lançamentoJanela de contextoModalidades de entradaModalidades de saídaLicença
Meta3.2-11b-vision2024-09-25128Ktext, imagetextLlama 3.2 Community License

Desempenho em benchmarks

BenchmarkPontuaçãoUnidadeNotas
MMLU (Massive Multitask Language Understanding)61.9%5-shot
HumanEval50.1pass@1
GSM8K (Grade School Math 8K)68.2%0-shot CoT
MATH29.9%0-shot CoT
BBH (BIG-Bench Hard)69.1%3-shot CoT
GPQA35.5%0-shot
IFEval58.4%prompt_strict
ARC86.0%challenge
MUSR41.7%0-shot
WinoGrande72.7%0-shot

Preços

EntradaSaídaLeitura de cacheEscrita de cache

por milhão de tokens

Pontos fortes

  • 支持文本、图像、音频多模态输入。

Pontos fracos

  • 闭源专有模型,不支持自托管。

Casos de uso

  • 视觉与图像理解

Referências