# MMMU-Benchmark/MMMU

<https://repo.masters-masters.com/en/repos/MMMU-Benchmark/MMMU>

[Home](https://repo.masters-masters.com/en) › [MMMU-Benchmark](https://repo.masters-masters.com/en/owners/MMMU-Benchmark) › [MMMU](https://repo.masters-masters.com/en/repos/MMMU-Benchmark/MMMU)

MMMU-Benchmark/MMMU has 600 stars on GitHub. Its RepoMasters card: Alpha tier. This repo contains evaluation code for the paper "MMMU: A Massive…

| Field | Value |
| --- | --- |
| Owner | [MMMU-Benchmark](https://repo.masters-masters.com/en/owners/MMMU-Benchmark) |
| Stars | 600 |
| Forks | 57 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | computer-vision, deep-learning, deep-neural-networks, evaluation, foundation-models, large-language-models, large-multimodal-models, llm, llms, machine-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [MMMU-Benchmark/MMMU](https://github.com/MMMU-Benchmark/MMMU) |

## Repository

This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
