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Multimodal

MultiModal-GPT

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First page
MultiModal-GPT
The curator’s take

A vision-language model for multi-round dialogue fine-tuned from OpenFlamingo.

Key points
01

LoRA-based extension: Adds LoRA to OpenFlamingo's cross-attention and self-attention for efficient fine-tuning.

02

Multi-round dialog: Specifically designed for multi-turn visual dialog, going beyond single-turn VQA.

03

Open visual chatbot: An early fully-open visual chatbot that users could run locally.

04

VLM dialog research: Informed the trajectory toward modern visual chatbots (LLaVA, Qwen-VL) that dominated open VLM research.

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