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    Models/Image To Text/chatpig/llava-llama3

    llava-llama3

    by chatpig

    Identifier
    Model ID
    chatpig/llava-llama3

    Tags

    ggufgguf-nodeimage-to-textdataset:Lin-Chen/ShareGPT4Vbase_model:xtuner/llava-llama-3-8b-v1_1-ggufbase_model:quantized:xtuner/llava-llama-3-8b-v1_1-ggufendpoints_compatibleregion:usconversational

    Use llava-llama3 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, llava-llama3 runs as a managed extractor inside a processing pipeline. Point a bucket of image to text 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.