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StreamMamba

cminst / StreamMamba

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30-day runs: 0
Model's Last Updated: September 01 2025
video-classification

Introduction of StreamMamba

Model Details of StreamMamba

cminst/StreamMamba

Vision-Language Model and StreamMamba checkpoints
License: Apache-2.0 This model is licensed under the Apache-2.0 License .
Overview

InternVideo2-B14 is a family of pre-trained vision-language models designed for cross-modal video-text understanding, vision-language alignment, and efficient deployment. This repository provides modular checkpoints for various downstream tasks, including video classification and frame-skipping systems.

Base Model : OpenGVLab/InternVideo2_distillation_models

Pipeline Tag : video-classification (supports vision-language and video-only tasks)

Model Details
Included Checkpoints
Filename Size Description
cross_mamba_film_warmup.pt 504 MB Cross-modal model combining vision and text using FiLM (Feature-wise Linear Modulation) and Mamba layers for temporal modeling.
mamba_mobileclip_ckpt.pt 500 MB StreamMamba temporal aggregator trained on MobileCLIP embeddings (no FiLM). Checkpoint 6900.
internvideo2_clip.pt 5.55 MB CLIP-style vision-language alignment component for InternVideo2-B14.
internvideo2_vision.pt 205 MB Vision encoder backbone (InternVideo2-B14) for video feature extraction.
mobileclip_blt.pt 599 MB Lightweight MobileCLIP variant (BLT) for resource-constrained applications.
lstm_ckpt.pt 530 MB Contains InternVideo2-B14 weights and MobileCLIP weights, along with a trained LSTM (used for ablating against Mamba)
StreamMamba Self-Predictive Frame Skipping (SPFS)

The spfs_r64 folder contains a self-contained system for adaptive frame skipping in videos. Each checkpoint file includes:

  • MobileCLIP vision/text encoders
  • InternVideo2-B14 vision encoder weights
  • Mamba temporal aggregator (merged from mamba_mobileclip_ckpt.pt )
  • SPFS-specific weights for frame selection

Runs of cminst StreamMamba on huggingface.co

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More Information About StreamMamba huggingface.co Model

More StreamMamba license Visit here:

https://choosealicense.com/licenses/apache-2.0

StreamMamba huggingface.co

StreamMamba huggingface.co is an AI model on huggingface.co that provides StreamMamba's model effect (), which can be used instantly with this cminst StreamMamba model. huggingface.co supports a free trial of the StreamMamba model, and also provides paid use of the StreamMamba. Support call StreamMamba model through api, including Node.js, Python, http.

StreamMamba huggingface.co Url

https://huggingface.co/cminst/StreamMamba

cminst StreamMamba online free

StreamMamba huggingface.co is an online trial and call api platform, which integrates StreamMamba's modeling effects, including api services, and provides a free online trial of StreamMamba, you can try StreamMamba online for free by clicking the link below.

cminst StreamMamba online free url in huggingface.co:

https://huggingface.co/cminst/StreamMamba

StreamMamba install

StreamMamba is an open source model from GitHub that offers a free installation service, and any user can find StreamMamba on GitHub to install. At the same time, huggingface.co provides the effect of StreamMamba install, users can directly use StreamMamba installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

StreamMamba install url in huggingface.co:

https://huggingface.co/cminst/StreamMamba

Url of StreamMamba

StreamMamba huggingface.co Url

Provider of StreamMamba huggingface.co

cminst
ORGANIZATIONS
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