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    Models/Image Text To Text/RedHatAI/Qwen2.5-VL-3B-Instruct-quantized.w4a16
    Image Text To Texttransformersapache-2.0

    Qwen2.5-VL-3B-Instruct-quantized.w4a16

    by RedHatAI

    105Kdl/month
    4likes
    Identifier
    Model ID
    RedHatAI/Qwen2.5-VL-3B-Instruct-quantized.w4a16

    Tags

    transformerssafetensorsqwen2_5_vlimage-text-to-textvllmvisionw4a16conversationalenbase_model:Qwen/Qwen2.5-VL-3B-Instructbase_model:quantized:Qwen/Qwen2.5-VL-3B-Instructlicense:apache-2.0text-generation-inferenceendpoints_compatiblecompressed-tensorsregion:us

    Use Qwen2.5-VL-3B-Instruct-quantized.w4a16 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, Qwen2.5-VL-3B-Instruct-quantized.w4a16 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.