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VI

VideoBooth

Vision model

VideoBooth

Release date: 2023-12-01Updated: 2023-12-05 21:54:11.336561
Live demoGitHubHugging FaceCompare
Parameters
3B
Context length
2K
Chinese support
Not supported
Reasoning ability

VideoBooth is an AI model published by Shanghai Artificial Intelligence Laboratory, released on 2023-12-01, for Vision model, with 3B parameters, and 2K context length, requiring about 10.04GB storage, under the Apache 2.0 license.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

VideoBooth

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Vision model
Modality (in / out)
No data
Release date
2023-12-01
Model file size
10.04GB
MoE architecture
No
Total params / Active params
3B / N/A
Knowledge cutoff
No data
VideoBooth

Open source & experience

Code license
Apache 2.0
Weights license
Apache 2.0- 免费商用授权
GitHub repo
https://github.com/Vchitect/VideoBooth
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
VideoBooth

Official resources

VideoBooth

API details

API speed
No data
No public API pricing yet.
VideoBooth

Benchmark Results

No benchmark data to show.

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VideoBooth

Publisher

Shanghai Artificial Intelligence Laboratory
Shanghai Artificial Intelligence Laboratory
View publisher details
VideoBooth

Model Overview

VideoBooth is an AI model published by Shanghai Artificial Intelligence Laboratory, released on 2023-12-01, for Vision model, with 3B parameters, and 2K context length, requiring about 10.04GB storage, under the Apache 2.0 license.

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