Train huge AI models across many machines without the usual pain

HI

Made by Higgsfield Inc.

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Higgsfield is an open-source framework for training very large neural networks — the kind with billions to trillions of parameters, such as large language models — across many computers at once, a process the project's own README describes as normally involving a lot of manual, error-prone setup ("multi node training without crying").

It builds on PyTorch's standard sharding techniques (splitting a model's weights across machines so no single one needs to hold the whole thing) and automates environment setup, deployment through GitHub, and a queue for managing multiple training runs competing for the same machines.