Chameleon 30b
Meta Chameleon is a hybrid-modal early fusion foundation model developed by FAIR, supporting multimodal processing of images and text.
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Release Time : 7/8/2024
Model Overview
Chameleon is a hybrid-modal early fusion foundation model capable of simultaneously processing image and text information to achieve cross-modal understanding and generation.
Model Features
Hybrid-Modal Processing
Capable of simultaneously processing image and text information to achieve cross-modal understanding and generation
Early Fusion Architecture
Utilizes early fusion technology to integrate information from different modalities at the initial processing stage
Large-Scale Parameters
30 billion parameter model size with powerful representation capabilities
Model Capabilities
Image Understanding
Text Generation
Cross-modal Reasoning
Multimodal Content Creation
Use Cases
Content Creation
Image Caption Generation
Generate detailed textual descriptions based on input images
Multimodal Story Creation
Create coherent stories combining image and text inputs
Intelligent Assistant
Visual Question Answering
Answer complex questions about image content
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