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    Models/Summarization/YuvrajSingh9886/Qwen2.5-0.5B-grpo-summarization-quality-meteor-rouge
    Summarizationmlxapache-2.0

    Qwen2.5-0.5B-grpo-summarization-quality-meteor-rouge

    by YuvrajSingh9886

    Identifier
    Model ID
    YuvrajSingh9886/Qwen2.5-0.5B-grpo-summarization-quality-meteor-rouge

    Tags

    mlxsafetensorsqwen2grposummarizationreinforcement-learninglength-penalty-fine-tunedendataset:mlabonne/smoltldrbase_model:Qwen/Qwen2.5-0.5B-Instructbase_model:finetune:Qwen/Qwen2.5-0.5B-Instructlicense:apache-2.0region:us

    Use Qwen2.5-0.5B-grpo-summarization-quality-meteor-rouge 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, Qwen2.5-0.5B-grpo-summarization-quality-meteor-rouge runs as a managed extractor inside a processing pipeline. Point a bucket of summarization 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.