README.md

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license: apache-2.0
title: README
sdk: static
emoji: 📚
colorFrom: blue
colorTo: purple

Token compression for LLMs.

Feed verbose. Get minimum.
Same meaning. Fewer tokens. Lower costs.

     

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Tsuki is a token compression model. It takes verbose prompts, markdown, and technical instructions and returns the semantic minimum — stripping pleasantries, redundant context, and filler without touching critical information.

Built to reduce costs on paid LLM APIs. Fine-tuned on 15,000 real bilingual compression pairs. Knows when to compress and, more importantly, when not to.

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verbose input → Tsuki → minimum tokens → GPT / Claude / any LLM API

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Built with real prompts and zero surrealist dragons.