ictnlp / LLaVA-Mini

LLaVA-Mini is a unified large multimodal model (LMM) that can support the understanding of images, high-resolution images, and videos in an efficient manner.

Date Created 2025-01-07 (2 months ago)

Commits 8 (last one 2 months ago)

Stargazers 435 (7 this week)

Watchers 9 (0 this week)

Forks 19

License apache-2.0

Ranking

RepositoryStats indexes 635,084 repositories, of these ictnlp/LLaVA-Mini is ranked #105,731 (83rd percentile) for total stargazers, and #218,289 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #18,117/129,968.

ictnlp/LLaVA-Mini is also tagged with popular topics, for these it's ranked: video (#515/1798), large-language-models (#337/1236), llama (#212/604), multimodal (#110/384), vision (#46/207)

Other Information

ictnlp/LLaVA-Mini has Github issues enabled, there are 22 open issues and 3 closed issues.

All Topics

gpt4o gpt4v llama llava video vision efficient multimodal large-language-models vision-language-model large-multimodal-models visual-instruction-tuning multimodal-large-language-models

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Github watchers over time, collection started in '23

Recent Commit History

8 commits on the default branch (main) since jan '22

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Languages

The primary language is Python but there's also others...

updated: 2025-04-03 @ 04:09pm, id: 913468419 / R_kgDONnJsAw