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    Models/Text Generation/timteh673/Qwen3.5-397B-A17B-Opus-4.6-Reasoning-Uncensored-GGUF
    Text Generationapache-2.0

    Qwen3.5-397B-A17B-Opus-4.6-Reasoning-Uncensored-GGUF

    by timteh673

    217Kdl/month
    22likes
    Identifier
    Model ID
    timteh673/Qwen3.5-397B-A17B-Opus-4.6-Reasoning-Uncensored-GGUF

    Tags

    ggufuncensoredabliteratedqwenqwen3.5moe397b17b-activefine-tunedreasoningloraopusclaudetext-generationenzhjakofrdeesptruarthviidbase_model:Qwen/Qwen3.5-397B-A17Bbase_model:adapter:Qwen/Qwen3.5-397B-A17Blicense:apache-2.0

    Use Qwen3.5-397B-A17B-Opus-4.6-Reasoning-Uncensored-GGUF 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, Qwen3.5-397B-A17B-Opus-4.6-Reasoning-Uncensored-GGUF runs as a managed extractor inside a processing pipeline. Point a bucket of text generation 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.