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TinyGPT-V

Efficient multimodal large language model

CommonProductProductivityLanguage ModelMultimodal

TinyGPT-V is an efficient multimodal large language model implemented using a smaller backbone network. It possesses strong language understanding and generation capabilities, making it suitable for a variety of natural language processing tasks. TinyGPT-V is based on Phi-2 as its pre-training model, boasting excellent performance and efficiency.

TinyGPT-V

Efficient multimodal large language model
Strong language understanding and generation capabilities
Suitable for various natural language processing tasks
Implemented using a smaller backbone network
Pre-trained based on Phi-2

Suitable for natural language processing tasks
such as text generation
machine translation
and conversational systems.

Using TinyGPT-V for text generation tasks
Applying TinyGPT-V to machine translation tasks
Building intelligent conversational systems using TinyGPT-V

TinyGPT-V Visit Over Time

Monthly Visits

494758773

Bounce Rate

37.69%

Page per Visit

5.7

Visit Duration

00:06:29

TinyGPT-V Visit Trend

TinyGPT-V Visit Geography

TinyGPT-V Traffic Sources

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