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    Models/Image Text To Text/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF

    Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF

    by DavidAU

    552Kdl/month
    647likes
    Identifier
    Model ID
    DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF

    Tags

    ggufunslothfine tunehereticuncensoredabliteratedaraMTP GGUF QuantsRegular GGUF Quantsqwen3.6multi-stage tunedthinkingreasoningall use casescodercreativecreative writingall genresstorywritingfictionroleplayingbfloat16multi-stage-tunemulti-state-mergeimage-text-to-textenzhdataset:DavidAU/Polar-STRICT-Datasetsdataset:DavidAU/F451-STRICT-Datasets

    Use Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF 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, Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF 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.