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VideoMAE V2
About VideoMAE V2
VideoMAE V2 is an AI model developed by Nanjing University, in the video category, released in 2023, made available as an open-weights model with 1B params.
On this page you'll find VideoMAE V2's full specifications. Review provider pricing and benchmark scores below, or compare VideoMAE V2 head-to-head with other video models.
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Run VideoMAE V2 locally — what fits
GPUs with enough VRAM to hold VideoMAE V2 at FP16 (lower precision needs less), from best value to most headroom. Generation speed depends on your tool, resolution and step count, so we don't estimate it.
VRAM fit only — we don't estimate generation speed for image/video/audio models (it depends on the tool, resolution and steps).
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Frequently asked questions
What is VideoMAE V2? ▶
VideoMAE V2 is an AI model developed by Nanjing University, in the video category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created VideoMAE V2? ▶
VideoMAE V2 was developed by Nanjing University and released in 2023.
Is VideoMAE V2 open source or proprietary? ▶
VideoMAE V2 ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does VideoMAE V2 cost? ▶
Pricing for VideoMAE V2 depends on the provider. See the providers table on this page for the latest API rates.
How does VideoMAE V2 perform on benchmarks? ▶
Benchmark scores for VideoMAE V2 are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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