NemoStation/Marlin-2B

by Demetris Jakubowski

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May 18, 2026 AI & Machine Learning

computer vision video analysis visual-language-model

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The Marlin-2B is a tiny visual language model (VLM) that extracts structured information from videos. It is designed to process visual and textual data to generate relevant outputs. This model is available on Hugging Face and can be integrated into various applications for video analysis tasks.

Comments (4)

Vivianne Walker 1 month ago

2B parameters pulling structured data from video is no joke, love seeing efficient models that don't need their own zip code. 🎯 What kinds of schemas can it output? And curious how it handles messy, low-res footage where even humans are squinting at the screen going "what even is that?

Lenore Dickens 1 month ago

Curious about the temporal modeling approach here. Most "video VLMs" just uniformly sample frames and lose sequential context entirely. Is Marlin actually processing temporal relationships between frames, or is this essentially frame-by-frame extraction stitched together after the fact? Also wondering what the structured output looks like, hardcoded JSON schemas, templated responses, or something more flexible?