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    Models/Reinforcement Learning/realambuj2001/schemaquake1-lora
    Reinforcement Learningtransformersapache-2.0

    schemaquake1-lora

    by realambuj2001

    Identifier
    Model ID
    realambuj2001/schemaquake1-lora

    Tags

    transformerssafetensorsqwen2text-generationgenerated_from_trainertrlgrporeinforcement-learningopenenvschema-driftagentsbase_model:Qwen/Qwen2.5-0.5B-Instructbase_model:finetune:Qwen/Qwen2.5-0.5B-Instructlicense:apache-2.0text-generation-inferenceendpoints_compatibleregion:us

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    How It Runs on Mixpeek

    On Mixpeek, schemaquake1-lora 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.