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    Not runnable todayEmbeddingVerified 2026-11-05

    InternVideo2 Stage2 1B (224p, 4 frames)

    OpenGVLab/InternVideo2-Stage2_1B-224p-f4

    InternVideo2 Stage2 1B (224p, 4 frames) is a video and text embedding model (Apache-2.0). Not runnable on Mixpeek today.

    Something blocks it today, such as the license, remote code or a GPU-only runtime. The reason is below.

    No demo for InternVideo2 Stage2 1B (224p, 4 frames) yet

    A video, image, slideshow or playground goes here once we record one on our own data.

    What it is good and bad at

    Best at
    Video-text retrieval and zero-shot action recognition on short clips; motion-aware where frame CLIP models are not.
    Worst at
    Only 4 frames at 224p per clip: long or slow scenes need splitting; research code base, not a packaged loader.
    Task
    Embedding
    Input
    Video, Text
    Output
    Vector
    Use cases
    Video understanding, Action recognition

    Templates that use it

    No template uses this model yet. Browse templates.

    Input and output

    Input

    video
    frames
    4
    resolution
    224x224
    sampling
    uniform over the clip
    text
    max_tokens
    40

    Output

    vector
    dims
    projection dim per the repo config (not verified here)
    distance
    cosine
    type
    dense

    How Mixpeek wires it

    Extractors
    None today
    Feature URIs
    None today
    Vector indexes
    None
    Retriever stages
    None
    Combines with
    • scene splits (transcoding/multimodal extractor) -> clip-level vectors -> feature_search with a text query

    How it runs

    Status
    Not runnable today Weights are a single .pt pickle and the model is defined only in the InternVideo GitHub repo (multi_modality), so it needs vendored model code plus a safetensors conversion before it can be a plugin; GPU in practice for 1B.
    Serve apps
    None
    Runtime
    InternVideo repo (multi_modality InternVideo2 Stage2)
    Weights
    Pickle, no remote code
    Parameters
    1,000 M
    Size on disk
    2,821 MB
    Preprocessing
    Sample 4 frames uniformly, resize to 224, normalize ImageNet mean/std.
    Postprocessing
    L2-normalize video and text projections.
    Serving
    batch
    Hardware
    Needs a GPU

    Scale to zero

    Minimum replicas
    0
    Maximum replicas
    1
    Idle timeout
    600 s
    Memory
    8 GB
    CPUs
    2
    GPUs
    1
    Cold start, node warm
    Not recorded
    Cold start, new node
    Not recorded

    Measured cost

    Unmeasured

    No committed measurement; plan row 3 measures it in the standalone image.

    Our evaluations

    Unmeasured

    We have not evaluated this model on our own data yet. Publisher results are in the sources below.

    Questions

    What is InternVideo2 Stage2 1B (224p, 4 frames) best at?
    Video-text retrieval and zero-shot action recognition on short clips; motion-aware where frame CLIP models are not.
    What are the limits of InternVideo2 Stage2 1B (224p, 4 frames)?
    Only 4 frames at 224p per clip: long or slow scenes need splitting; research code base, not a packaged loader.
    Can InternVideo2 Stage2 1B (224p, 4 frames) be used commercially?
    Yes. Apache-2.0 per the hub tag; access gated by an automatic agreement on the hub.
    How does InternVideo2 Stage2 1B (224p, 4 frames) run on Mixpeek?
    Weights are a single .pt pickle and the model is defined only in the InternVideo GitHub repo (multi_modality), so it needs vendored model code plus a safetensors conversion before it can be a plugin; GPU in practice for 1B.