OpenGVLab/InternVideo

• highreadme#1

  Reposition README opening to highlight its leading open-source status

  Why:

  CURRENT

  This repo contains InternVideo series and related works in video foundation models.

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  InternVideo is a leading open-source initiative presenting a comprehensive series of video foundation models and associated datasets, specifically designed for advanced multimodal video understanding and generation tasks.

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• highreadme#2

  Add a 'Key Features & Offerings' section to the README

  Why:

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  ## Key Features & Offerings
  -   **Comprehensive Video Foundation Models:** A series of state-of-the-art models (InternVideo1-Next) for diverse video understanding tasks.
  -   **Large-scale Video-Text Dataset:** Includes InternVid, a massive dataset for multimodal understanding and generation.
  -   **Multimodal Capabilities:** Supports multimodal understanding, generation, and contextual reasoning.
  -   **Broad Task Support:** Excels in action recognition, spatio-temporal action localization, video question answering, video retrieval, and zero-shot learning.
  -   **Open-source Research Platform:** Provides pretrained weights and code for research and development.

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• mediumreadme#3

  Rename and clarify the 'Updates' section in the README

  Why:

  CURRENT

  ## Updates
  - `2025.12`: The technical report and pretrained model weights of [InternVideo-Next] are released.
  - `2025.01`: [InternVideo2.5] is now released! Check out the technical report for detailed insights, and access the model on HuggingFace.
  - `2024.08.12`: We provide smaller models, [InternVideo2-S/B/L](./InternVideo2/single_modality/MODEL_ZOO.md), which are distilled from InternVideo2-1B. We also build smaller [VideoCLIP](./InternVideo2/multi_modality/MODEL_ZOO.md) with MobileCLIP.
  - `2024.08`: InternVideo2-Stage3-8B and InternVideo2-Stage3-8B-HD are released. 8B indicates the use of InternVideo2-1B and the 7B LLM.
  - `2024.07`: The video annotatio

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  ## News
  - `Upcoming (2025.12)`: The technical report and pretrained model weights of [InternVideo-Next] are planned for release.
  - `Upcoming (2025.01)`: [InternVideo2.5] is slated for release! Check out the technical report for detailed insights, and access the model on HuggingFace.
  - `2024.08.12`: We provide smaller models, [InternVideo2-S/B/L](./InternVideo2/single_modality/MODEL_ZOO.md), which are distilled from InternVideo2-1B. We also build smaller [VideoCLIP](./InternVideo2/multi_modality/MODEL_ZOO.md) with MobileCLIP.
  - `2024.08`: InternVideo2-Stage3-8B and InternVideo2-Stage3-8B-HD are released. 8B indicates the use of InternVideo2-1B and the 7B LLM.
  - `2024.07`: The video annotatio

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  What are the best foundation models for general multimodal video understanding tasks?

  you: not recommended
  AI recommended (in order):

  1. Google Gemini
  2. OpenAI GPT-4o
  3. Meta Llama 3
  4. Google VideoPoet
  5. Microsoft Florence-2
  6. InternVideo2
  7. BLIP-2 / InstructBLIP

  AI recommended 7 alternatives but never named OpenGVLab/InternVideo. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Seeking a framework for spatio-temporal action localization and zero-shot video retrieval.

  you: not recommended
  AI recommended (in order):

  1. MMAction2 (open-mmlab/mmaction2)
  2. TorchVideo (facebookresearch/torchvideo)
  3. OpenVINO Toolkit (openvinotoolkit/openvino)
  4. Hugging Face Transformers (huggingface/transformers)
  5. CLIP
  6. TensorFlow Video (tensorflow/models)

  AI recommended 6 alternatives but never named OpenGVLab/InternVideo. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of OpenGVLab/InternVideo?

  pass
  ✓AI named OpenGVLab/InternVideo explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts OpenGVLab/InternVideo in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named OpenGVLab/InternVideo explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo OpenGVLab/InternVideo solve, and who is the primary audience?

  pass
  ✓AI named OpenGVLab/InternVideo explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?