# alibaba-multimodal-industrial-ai/IndustryBench

<https://repo.masters-masters.com/en/repos/alibaba-multimodal-industrial-ai/IndustryBench>

[Home](https://repo.masters-masters.com/en) › [alibaba-multimodal-industrial-ai](https://repo.masters-masters.com/en/owners/alibaba-multimodal-industrial-ai) › [IndustryBench](https://repo.masters-masters.com/en/repos/alibaba-multimodal-industrial-ai/IndustryBench)

alibaba-multimodal-industrial-ai/IndustryBench has 159 stars on GitHub. Its RepoMasters card: Prototype tier. A multi-lingual benchmark for evaluating…

| Field | Value |
| --- | --- |
| Owner | [alibaba-multimodal-industrial-ai](https://repo.masters-masters.com/en/owners/alibaba-multimodal-industrial-ai) |
| Stars | 159 |
| Forks | 10 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | industry-benchmark, llm-evaluation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [alibaba-multimodal-industrial-ai/IndustryBench](https://github.com/alibaba-multimodal-industrial-ai/IndustryBench) |

## Repository

A multi-lingual benchmark for evaluating industrial domain knowledge of LLMs.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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