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    Models/Text Classification/boboliu/Qwen3-Reranker-4B-W4A16-G128
    Text Classificationtransformersapache-2.0

    Qwen3-Reranker-4B-W4A16-G128

    by boboliu

    Identifier
    Model ID
    boboliu/Qwen3-Reranker-4B-W4A16-G128

    Tags

    transformerssafetensorsqwen3text-generationtext-classificationbase_model:Qwen/Qwen3-Reranker-4Bbase_model:quantized:Qwen/Qwen3-Reranker-4Blicense:apache-2.0text-embeddings-inferenceendpoints_compatiblecompressed-tensorsregion:us

    Use Qwen3-Reranker-4B-W4A16-G128 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, Qwen3-Reranker-4B-W4A16-G128 runs as a managed extractor inside a processing pipeline. Point a bucket of text classification 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.