README.md

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license: apache-2.0
title: README
sdk: static
emoji: 📚
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colorTo: purple
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<img src="https://img.shields.io/badge/%E2%9C%A6-TSUKI-000000?style=for-the-badge&labelColor=000000" alt="Tsuki" height="50">

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# Token compression for LLMs.

**Feed verbose. Get minimum.**<br>
**Same meaning. Fewer tokens. Lower costs.**

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[![License](https://img.shields.io/badge/Apache_2.0-222222?style=flat-square&logo=apache&logoColor=white)](#)
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[![Flan-T5](https://img.shields.io/badge/Flan--T5_Base-222222?style=flat-square&logo=google&logoColor=white)](#)
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[![Bilingual](https://img.shields.io/badge/ES%20%7C%20EN-222222?style=flat-square&logoColor=white)](#)
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[![15K pairs](https://img.shields.io/badge/15K_training_pairs-222222?style=flat-square&logoColor=white)](#)

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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.**

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[![Tsuki](https://img.shields.io/badge/Tsuki-2026-000000?style=for-the-badge)](https://huggingface.co/tsuki-team)

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