vllm-project

    vllm-project/vllm-omni

    #405 this week

    A framework for efficient model inference with omni-modality models

    machine-learning
    deep-learning
    audio-generation
    diffusion
    image-generation
    inference
    model-serving
    Python
    Apache-2.0
    7.2K stars
    1.9K forks
    7.2K GitHub watchers
    Updated Oct 14, 2026
    View on GitHub

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    Where it stands

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

    Ranks #405 of 2,845 repositories GStars tracks this week (top 14%).

    5 releases in the last 90 days, the latest 8 days ago, with 446 contributors on GitHub.

    Peaked at #20 in the weekly ranking the week of Jan 4, its best in the past year.

    Use Cases & Benefits

    • Provides a framework for efficient inference and serving of omni-modality models including text, image, video, and audio.
    • Delivers high throughput and low latency by leveraging advanced KV cache management and pipelined stage execution for multimodal model workflows.
    • Use for deploying large-scale multimodal AI services that require fast and scalable inference across heterogeneous data types.
    • Use for integrating and serving popular Hugging Face omni-modality models with support for distributed inference and streaming outputs.
    • Use for research and development of non-autoregressive and diffusion transformer models requiring flexible pipeline abstraction and dynamic resource allocation.

    Should you depend on it?

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

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

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

    From the README

    Easy, fast, and cheap omni-modality model serving for everyone

    Visit our documentation to learn more.

    Excerpt from the vllm-project/vllm-omni README on GitHub (Apache-2.0 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

    1.9K+620

    Open issues

    2.0K+820

    Compared with peers in Machine Learning

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth

    vllm-project/vllm-omni compared with Machine Learning repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    pytorch/pytorch105.0K+4496423 days ago
    openbq-org/OpenBB74.2K+07514 days ago
    apache/airflow47.2K+07527 days ago
    nautechsystems/nautilus_trader30.6K+0757 days ago
    GeeeekExplorer/nano-vllm15.8K+075—
    vllm-project/vllm-omni7.2K+0758 days ago
    Category median47.2K+075—

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