OpenGVLab

    OpenGVLab/InternVL

    [CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

    10.2K stars
    792 forks
    65 GitHub watchers
    Updated Nov 6, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 914 days ago, with 18 contributors on GitHub.

    Use Cases & Benefits

    • Provides an open-source multimodal large language model family that approaches GPT-4o performance for vision-language understanding and generation tasks.
    • Delivers state-of-the-art open-source performance with advanced multimodal reasoning, efficient inference, and support for diverse data formats including images, video, and text.
    • Use for building type-safe multimodal chatbots that understand and generate responses based on images, videos, and text inputs.
    • Use for developing advanced vision-language applications such as image classification, semantic segmentation, and video classification with integrated language reasoning.
    • Use for research and fine-tuning of large-scale multimodal models leveraging open training pipelines and datasets for custom domain adaptation.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • Warning: No commits in over a year (last push Sep 2025).

    General guidance from repository metadata, not legal advice. How we score

    From the README

    To maintain consistency with earlier generations, we provide two model formats: the GitHub format, consistent with prior releases, and the HF format, aligned with the official Transformers standard.

    If you want to convert the checkpoint between these two formats, please refer to the scripts about custom2hf and hf2custom.

    Excerpt from the OpenGVLab/InternVL README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    792+4

    Open issues

    318+5

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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