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    Models/Text Generation/internlm/internlm2_5-step-prover-critic

    internlm2_5-step-prover-critic

    by internlm

    Identifier
    Model ID
    internlm/internlm2_5-step-prover-critic

    Tags

    pytorchinternlm2mathtext-generationconversationalcustom_codeendataset:internlm/Lean-Workbookdataset:internlm/Lean-Githubarxiv:2410.15700license:otherregion:us

    Use internlm2_5-step-prover-critic on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, internlm2_5-step-prover-critic 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.