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    Models/Image Text To Text/unsloth/gemma-3-4b-it
    Image Text To Texttransformersgemma

    gemma-3-4b-it

    by unsloth

    140Kdl/month
    28likes
    Identifier
    Model ID
    unsloth/gemma-3-4b-it

    Tags

    transformerssafetensorsgemma3image-text-to-textunslothconversationalarxiv:1905.07830arxiv:1905.10044arxiv:1911.11641arxiv:1904.09728arxiv:1705.03551arxiv:1911.01547arxiv:1907.10641arxiv:1903.00161arxiv:2009.03300arxiv:2304.06364arxiv:2103.03874arxiv:2110.14168arxiv:2311.12022arxiv:2108.07732arxiv:2107.03374arxiv:2210.03057arxiv:2106.03193arxiv:1910.11856arxiv:2502.12404arxiv:2502.21228arxiv:2404.16816arxiv:2104.12756arxiv:2311.16502arxiv:2203.10244

    Use gemma-3-4b-it 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, gemma-3-4b-it 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.