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    Models/Visual Question Answering/erax-ai/EraX-VL-7B-V2.0-Preview
    Visual Question Answeringtransformersapache-2.0

    EraX-VL-7B-V2.0-Preview

    by erax-ai

    Identifier
    Model ID
    erax-ai/EraX-VL-7B-V2.0-Preview

    Tags

    transformerssafetensorsqwen2_vlimage-text-to-texteraxmultimodalerax-vl-7Binsuranceocrvietnamesebcgradiologycar accidencehand-writingancientquestion-answeringvisual-question-answeringdocument-question-answeringvienzharxiv:2308.12966arxiv:2407.10671arxiv:2404.16821arxiv:2404.07922base_model:erax-ai/EraX-VL-7B-V1.5base_model:finetune:erax-ai/EraX-VL-7B-V1.5doi:10.57967/hf/4038license:apache-2.0text-generation-inference

    Use EraX-VL-7B-V2.0-Preview 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, EraX-VL-7B-V2.0-Preview 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.