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    Models/Image Text To Text/OsaurusAI/Qwen3.6-27B-MXFP4
    Image Text To Textmlxapache-2.0

    Qwen3.6-27B-MXFP4

    by OsaurusAI

    Identifier
    Model ID
    OsaurusAI/Qwen3.6-27B-MXFP4

    Tags

    mlxsafetensorsqwen3_5quantizedapple-siliconqwen3densevisionhybrid-attentiongated-deltanetmxfp4image-text-to-textconversationalenbase_model:Qwen/Qwen3.6-27Bbase_model:quantized:Qwen/Qwen3.6-27Blicense:apache-2.04-bitregion:us

    Use Qwen3.6-27B-MXFP4 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, Qwen3.6-27B-MXFP4 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.