White Circle releases Halo to speed up Hugging Face post-training

The AI safety startup claims up to 2.8x TRL throughput, while its modified Apache license adds conditions for larger commercial users.

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Primary source: White Circle on X

Why it matters

Halo targets the costly gap between single-GPU Hugging Face workflows and heavyweight training systems, while giving White Circle a developer distribution channel beyond its AI safety product.

A dynamic scene showing streaks of bright blue and white light, representing data, flowing rapidly through a dark, high-tech environment.

Denis Shilov (@mixedenn)'s White Circle released Halo, the internal framework it uses to train and post-train models, giving outside teams a distributed training stack that keeps models and checkpoints in the standard Hugging Face format.

https://x.com/whitecircle/status/2102087563913609534

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