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    Models/Reinforcement Learning/ielabgroup/Autobool-Qwen4b-Reasoning-objective
    Reinforcement Learningtransformersapache-2.0

    Autobool-Qwen4b-Reasoning-objective

    by ielabgroup

    Identifier
    Model ID
    ielabgroup/Autobool-Qwen4b-Reasoning-objective

    Deploy Autobool-Qwen4b-Reasoning-objective

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    Tags

    transformerssafetensorsqwen3text-generationboolean-queriessystematic-reviewinformation-retrievalpubmedreinforcement-learninggrpofew-shotbase_model:Qwen/Qwen3-4Bbase_model:finetune:Qwen/Qwen3-4Blicense:apache-2.0text-generation-inferenceendpoints_compatibleregion:us

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    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, Autobool-Qwen4b-Reasoning-objective runs as a managed extractor inside a processing pipeline. Point a bucket of reinforcement learning 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.