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    Models/Visual Question Answering/lym0302/VideoLLaMA2.1-7B-AV-CoT
    Visual Question Answeringtransformersapache-2.0

    VideoLLaMA2.1-7B-AV-CoT

    by lym0302

    Identifier
    Model ID
    lym0302/VideoLLaMA2.1-7B-AV-CoT

    Tags

    transformerssafetensorsvideollama2_qwen2text-generationAudio-visual Question AnsweringAudio Question Answeringmultimodal large language modelvisual-question-answeringendataset:lmms-lab/ClothoAQAdataset:Loie/VGGSoundarxiv:2406.07476arxiv:2306.02858license:apache-2.0endpoints_compatibleregion:us

    Use VideoLLaMA2.1-7B-AV-CoT on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, VideoLLaMA2.1-7B-AV-CoT runs as a managed extractor inside a processing pipeline. Point a bucket of visual question answering data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.