home/categories/machine-learning/scientiacapital-unsloth-mcp-server-claude-skills-superbpe-skill-md
machine-learningdata-ai

superbpe

Train and use SuperBPE tokenizers for 20-33% token reduction across any project. Covers training, optimization, validation, and integration with any LLM framework. Use when you need efficient tokenization, want to reduce API costs, or maximize context windows.

ScientiaCapital
maintainer
ScientiaCapital
Updated 1/18/2026
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quick start

Installation and usage

Train and use SuperBPE tokenizers for 20-33% token reduction across any project. Covers training, optimization, validation, and integration with any LLM framework. Use when you need efficient tokenization, want to reduce API costs, or maximize context windows.

Installation
$ install --globalskills.sh
Usage

Once installed, you can use this skill by running the following command in your terminal:

skills use superbpe