TinyModels/Atom-350M
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AI & ML interests
Making machine learning tiny, fast, and accessible on any device.
Recent Activity
Organization Card
Small enough to fit anywhere.
Building compact AI that stays practical, accessible, and enjoyable to experiment with.
The Idea
Bigger is one direction.TinyModels explores another.Instead of chasing billions of parameters, we explore what careful training, efficient architectures, and thoughtful engineering can accomplish at a much smaller scale. |
FastStarts quickly. Runs almost anywhere. |
LightweightMillions of parameters. Not billions. |
ExperimentalEvery model explores a different idea. |
Built Around
PyTorch • Transformers • PEFT • Datasets • Google Colab
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.
Principles
✓ Small enough to run almost anywhere
✓ Easy to understand
✓ Open to experimentation
✓ Built in public
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.
