VI
VideoBooth
Vision modelVideoBooth
Release date: 2023-12-01Updated: 2023-12-05Views: 571
Parameters
3B
Context length
2K
Multilingual
No data
Reasoning ability
No data
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.
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
No data
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 / Not applicable
Knowledge cutoff
No data
VideoBooth
Open source & experience
Code license
Weights license
Apache 2.0- Commercial use permitted
GitHub repo
Hugging Face
N/A
Live demo
N/A
VideoBooth
Official resources
Paper
DataLearnerAI blog
N/A
VideoBooth
API details
API speed
No data
No public API pricing yet.
VideoBooth
Publisher
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.
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