Llama 3.2 Instruct 90B (Vision)

MetaLlama開源權重Llama 3.2 · 商用許可

描述

Llama 3.2 90B is a large multimodal language model optimized for visual recognition, image reasoning, and captioning tasks. It supports a context length of 128,000 tokens and is designed for deployment on edge and mobile devices, offering state-of-the-art performance in image understanding and generative tasks.

發布日期

2024-09-25

參數規模

90.0B

上下文長度

—

支援模態

image, text

能力雷達圖

general

coding

reasoning

science

agents

multimodal

排行榜排名

領域	#排名	分數	來源
程式碼能力榜	483	23.0	AA
通用能力榜	505	28.0	AA
多模態榜	105	43.0	LS
科學能力	536	23.0	AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

General

MMLU

86.0%自報

Math

MGSM

86.9%自報

MATH

68.0%自報

MathVista

57.3%自報

Multimodal

MMMU

60.3%自報

Reasoning

ChartQAMasry et al. (2022)

85.5%自報

GPQANYU + Cohere + Anthropic (2023)

46.7%自報

Vision

AI2D

92.3%自報

DocVQADocVQA (2020)

90.1%自報

VQAv2

78.1%自報

TextVQA

73.5%自報

InfographicsQA

56.8%自報

MMMU-Pro

45.2%自報

AA 評測指數

(Artificial Analysis)

Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))

67.1

Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))

62.9

Gpqa(NYU + Cohere + Anthropic (2023))

43.2

Livecodebench(UC Berkeley + MIT + Cornell (2024))

21.4

Intelligence Index(Artificial Analysis)

6.4

Aime(MAA (Mathematical Association of America))

5.0

Hle(Center for AI Safety + Scale AI (2025))

4.5

LLM Stats 分類評分

(LLM Stats (zeroeval))

Language

Legal

Finance

Image To Text

Math

Multimodal

Reasoning

General

Healthcare

Vision

Physics

Biology

Chemistry

定價

輸入價格免費

輸出價格免費

混合價格(3:1)免費

速度

Tokens/秒0.0

首Token延遲0.00s

首回答延遲0.00s

供應商價格排行

暫無提供商資料

外部連結

LLM Stats Artificial Analysis