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    Models/Text Generation/ansulev/Darwin-9B-NEG
    Text Generationtransformersapache-2.0

    Darwin-9B-NEG

    by ansulev

    195Kdl/month
    16likes
    Identifier
    Model ID
    ansulev/Darwin-9B-NEG

    Tags

    transformerssafetensorsqwen3_5image-text-to-textdarwindarwin-v8darwin-negnative-entropy-gatingNEGreasoningself-regulated-reasoningadvanced-reasoningthinkingqwen3.5qwengpqabenchmarkopen-sourceapache-2.0hybrid-vigorproto-agividrafteval-resultstext-generationconversationalenzhkojamultilingual

    Use Darwin-9B-NEG 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, Darwin-9B-NEG 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.