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    Models/Image Text To Text/fancyfeast/llama-joycaption-beta-one-hf-llava
    Image Text To Texttransformers

    llama-joycaption-beta-one-hf-llava

    by fancyfeast

    222Kdl/month
    374likes
    Identifier
    Model ID
    fancyfeast/llama-joycaption-beta-one-hf-llava

    Tags

    transformerssafetensorsllavaimage-text-to-textcaptioningconversationalbase_model:google/siglip2-so400m-patch14-384base_model:finetune:google/siglip2-so400m-patch14-384endpoints_compatibleregion:us

    Use llama-joycaption-beta-one-hf-llava 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, llama-joycaption-beta-one-hf-llava runs as a managed extractor inside a processing pipeline. Point a bucket of image text 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.