Not runnable todayEmbeddingVerified 2026-11-05
VideoPrism Base (16 frames, 288px)
google/videoprism-base-f16r288
VideoPrism Base (16 frames, 288px) is a video 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 VideoPrism Base (16 frames, 288px) 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
- General-purpose frozen video encoder: strong features for classification, localization and retrieval probes.
- Worst at
- JAX/Flax only; no text tower, so no text queries: video-to-video similarity or trained probes only.
- Task
- Embedding
- Input
- Video
- 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
- 16
- resolution
- 288x288
Output
- vector
- dims
- per model 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 -> VideoPrism clip vectors -> feature_search by example clip
How it runs
- Status
- Not runnable today Weights are Flax .npz arrays loaded by the videoprism JAX package; Mixpeek's runtime is PyTorch, so it needs JAX in the image or a port. Weights-only arrays, Apache-2.0, so no license block.
- Serve apps
- None
- Runtime
- videoprism (JAX/Flax)
- Weights
- JAX, no remote code
- Parameters
- Not recorded
- Size on disk
- 458 MB
- Preprocessing
- Sample 16 frames, resize to 288, scale to 0..1.
- Postprocessing
- Global pooled embedding; L2-normalize for retrieval.
- Serving
- batch
- Hardware
- Runs on CPU (slower without a GPU)
Scale to zero
- Minimum replicas
- 0
- Maximum replicas
- 1
- Idle timeout
- 600 s
- Memory
- 6 GB
- CPUs
- 2
- GPUs
- 0
- 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 VideoPrism Base (16 frames, 288px) best at?
- General-purpose frozen video encoder: strong features for classification, localization and retrieval probes.
- What are the limits of VideoPrism Base (16 frames, 288px)?
- JAX/Flax only; no text tower, so no text queries: video-to-video similarity or trained probes only.
- Can VideoPrism Base (16 frames, 288px) be used commercially?
- Yes. Apache-2.0 per the hub tag and repo.
- How does VideoPrism Base (16 frames, 288px) run on Mixpeek?
- Weights are Flax .npz arrays loaded by the videoprism JAX package; Mixpeek's runtime is PyTorch, so it needs JAX in the image or a port. Weights-only arrays, Apache-2.0, so no license block.