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    Models/Feature Extraction/llm-jp/llm-jp-4-vl-9b-beta
    Feature Extractiontransformersapache-2.0

    llm-jp-4-vl-9b-beta

    by llm-jp

    Identifier
    Model ID
    llm-jp/llm-jp-4-vl-9b-beta

    Tags

    transformerssafetensorsllmjpvlfeature-extractioncustom_codeenjadataset:llm-jp/Jagledataset:HuggingFaceM4/FineVisionarxiv:2504.10479arxiv:2604.02048arxiv:2604.00909base_model:llm-jp/llm-jp-4-8b-instructbase_model:finetune:llm-jp/llm-jp-4-8b-instructlicense:apache-2.0region:us

    Use llm-jp-4-vl-9b-beta on Mixpeek

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

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    How It Runs on Mixpeek

    On Mixpeek, llm-jp-4-vl-9b-beta runs as a managed extractor inside a processing pipeline. Point a bucket of feature extraction 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.