README.md

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title: TinyModels
emoji: ⚡
colorFrom: red
colorTo: blue
sdk: gradio
sdk_version: 6.14.0
pinned: false
license: mit
---

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<img src="https://img.shields.io/badge/Open-Source-06B6D4?style=for-the-badge">
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### Small enough to fit anywhere.

Building compact AI that stays practical, accessible, and enjoyable to experiment with.

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# The Idea

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## <span style="color:#A855F7;">Bigger is one direction.</span>

### <span style="color:#22D3EE;">TinyModels explores another.</span>

Instead of chasing **billions of parameters**, we explore what **careful training**, **efficient architectures**, and **thoughtful engineering** can accomplish at a much smaller scale.

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<h3>Fast</h3>

Starts quickly.

Runs almost anywhere.

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<h3>Lightweight</h3>

Millions of parameters.

Not billions.

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<h3>Experimental</h3>

Every model explores a different idea.

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# Built Around

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PyTorch • Transformers • PEFT • Datasets • Google Colab

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TinyModels exists to show that useful AI doesn't require enormous infrastructure.

Most projects are trained using freely available hardware, with an emphasis on reproducibility and accessibility.

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# Principles

```text
✓ Small enough to run almost anywhere
✓ Easy to understand
✓ Open to experimentation
✓ Built in public
````

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# Community

TinyModels is an open place for people who enjoy building efficient AI.

Whether you're training your first model or experimenting with new ideas, you're welcome here.

Ideas, discussions, datasets, benchmarks, and contributions are always encouraged.

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<img src="https://img.shields.io/badge/Models-Tiny-8B5CF6?style=for-the-badge">
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