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Mulberry Llava 8b
M
Mulberry Llava 8b
Developed by HuanjinYao
Mulberry-llava-8b is an image-text-to-text model based on step-by-step reasoning, trained on the Mulberry-260K SFT dataset, with powerful image understanding and text generation capabilities.
Downloads 1,735
Release Time : 1/8/2025
Model Overview
This model focuses on the interactive processing of images and text, can understand image content and generate relevant text, and is suitable for multimodal tasks.
Model Features
Step-by-step reasoning ability
Through the training data generated by CoMCTS collective knowledge search, it has stronger logical reasoning ability.
Multimodal processing
It can process image and text information simultaneously, achieving cross-modal understanding and generation.
Efficient training
Efficiently trained on 8x NVIDIA H100 using the LLaMA-Factory framework.
Model Capabilities
Image content understanding
Multimodal text generation
Cross-modal reasoning
Use Cases
Multimodal interaction
Image description generation
Generate detailed textual descriptions based on the input image
Visual question answering
Answer natural language questions about the image content
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