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A collection of open sourced pretraining recipes.

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archdb

I wanted a way to compare recent LLMs without digging through a different paper or config for each one. archdb puts their architectures and pretraining recipes in one table, with links back to the sources.

Browse archdb

Terminal

Install with uv:

uv tool install git+https://github.com/acforvs/archdb
archdb

Browse models and compare their architecture and training fields. Search fields with /, find models with m, and press ? for the keys. The explorer works offline on macOS and Linux. Update the tool and its bundled data with uv tool upgrade archdb.

There are also commands for filtering models and exporting results:

archdb models --where 'moe.sparsity >= 32' --sort params.active --desc
archdb show deepseek-v3 --group moe

See Terminal usage for filtering, source lookup, KV settings and JSON/CSV output.

Use the data

The data is also available without the website:

See Using the data for field definitions, other exports, and calculation details.

Run locally

Requires Python 3.11+, Node.js 24+, and uv.

uv sync
uv run archdb build
npm --prefix web ci
npm --prefix web run build
uv run archdb serve

Open localhost:8000. See Development for checks and deployment commands.

Contributing

To add a model or fix a value, see CONTRIBUTING.md. You can also open an issue.

License

Code: MIT. Data: CC0 1.0. Quoted material keeps its original license.

About

A collection of open sourced pretraining recipes.

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Contributing

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6 stars

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