claudecodex

its-hub

Inference-time scaling for LLMs — generate multiple candidates and select the best using voting, scoring, or search

40 on GitHubby Red Hat AI Innovation Teamv1.0.0Apache-2.0updated 1 month ago
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Plugin its-hub from marketplace its-hub in Red-Hat-AI-Innovation-Team/its_hub. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (4)

  • batch-scaling

    Use when the user wants to run inference-time scaling on multiple prompts from a file (JSONL, CSV, or TXT). Applies to batch processing, evaluation runs, or dataset-level scaling.

  • inference-scaling-guide

    Guides users through inference-time scaling with its_hub, including algorithm selection (Self-Consistency, Best-of-N, Beam Search, Particle Filtering), budget tuning, reward model setup, tool-calling integration, interpreting results, and troubleshooting. Use when the user is working with its_hub, a

  • inference-scaling

    Use when the user wants to run inference-time scaling on a prompt — detect environment, execute scaling, and present results. For algorithm selection, budget tuning, reward models, and troubleshooting, consult the inference-scaling-guide skill.

  • setup-guide

    Use when the user wants to set up inference-time scaling for the first time, or when its_hub is not yet installed/configured in the current environment.

View source on GitHub

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