cokeshao/HoliTom
[NeurIPS 2025] HoliTom: Holistic Token Merging for Fast Video Large Language Models
Processing long videos with large language models can be slow and expensive. This project helps reduce the computational resources needed by intelligently sifting out less important visual information from video data before and during its processing. It takes video inputs and delivers faster video analysis, making it easier for AI researchers and machine learning engineers to work with video LLMs efficiently.
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Use this if you are a machine learning engineer or researcher developing or deploying video large language models and need to significantly speed up processing and reduce computational costs without sacrificing accuracy.
Not ideal if you are an end-user without a technical background in machine learning models, as this is a developer tool for optimizing existing video LLM infrastructure.
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72
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Language
Python
License
Apache-2.0
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Last pushed
Oct 10, 2025
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