#66 · Primary category: Foundation Models

NExT-GPT

chatgpt foundation-models gpt-4 instruction-tuning large-language-models llm mllm multi-modal-chatgpt multimodal visual-language-learning

Code and models for ICML 2024 paper, NExT-GPT: Any-to-Any Multimodal Large Language Model

Project last updated:05/13/25

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3.6K

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360

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4

License

BSD-3-Clause

Why we included this project

NExT-GPT is a research model that takes in and outputs text, images, video, and audio in any combination, so a single system can describe a video in words or generate both an image and a sound clip from a text prompt. The repo accompanies the ICML 2024 paper and ships checkpoints, the modality-switching instruction dataset, and documented training steps, making it a workable end-to-end reference implementation rather than something you have to rebuild from the paper. Its training approach tunes only a small fraction of parameters, which keeps it light enough to study. Researchers and engineers comparing multimodal understanding-plus-generation architectures will find an inspectable baseline here. Expect to handle your own serving and integration, since this is a research release, not a turnkey product.

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