# Q-Future/Q-Bench

<https://repo.masters-masters.com/en/repos/Q-Future/Q-Bench>

[Home](https://repo.masters-masters.com/en) › [Q-Future](https://repo.masters-masters.com/en/owners/Q-Future) › [Q-Bench](https://repo.masters-masters.com/en/repos/Q-Future/Q-Bench)

Q-Future/Q-Bench has 285 stars on GitHub. Its RepoMasters card: Alpha tier. ①\[ICLR2024 Spotlight\] (GPT-4V/Gemini-Pro/Qwen-VL-Plus+16 OS MLLMs) A benchmark for…

| Field | Value |
| --- | --- |
| Owner | [Q-Future](https://repo.masters-masters.com/en/owners/Q-Future) |
| Stars | 285 |
| Forks | 12 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2023 |
| Topics | image-quality-assessment, large-language-models, low-level-vision, quality-assessment, vision-language-dataset, visual-large-language-models, gpt-4, iclr |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Q-Future/Q-Bench](https://github.com/Q-Future/Q-Bench) |

## Repository

①\[ICLR2024 Spotlight\] (GPT-4V/Gemini-Pro/Qwen-VL-Plus+16 OS MLLMs) A benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.

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

## More repos by Q-Future

- [Q-Future/Q-Align · ★ 631 · Python · Alpha](https://repo.masters-masters.com/en/repos/Q-Future/Q-Align)
- [Q-Future/Q-ReAlign · ★ 472 · Python · Alpha](https://repo.masters-masters.com/en/repos/Q-Future/Q-ReAlign)
- [Q-Future/Q-Instruct · ★ 237 · Python · Prototype](https://repo.masters-masters.com/en/repos/Q-Future/Q-Instruct)
- [Q-Future/A-Bench · ★ 117 · Prototype](https://repo.masters-masters.com/en/repos/Q-Future/A-Bench)
- [Q-Future/Q-Bench-Video · ★ 112 · Python · Prototype](https://repo.masters-masters.com/en/repos/Q-Future/Q-Bench-Video)

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