Halo post-training framework claims up to 2.8x TRL throughput with lower peak memory

huggingface · x · 2026-09-22

HF CEO Clem Delangue amplified Halo, an open-source post-training framework by WhiteCircle claiming up to 2.8x the throughput of stock TRL with lower peak memory, while keeping models in native HuggingFace format — part of his pitch that training your own models is getting easier and off-the-shelf-only users are missing out.

Related event: White Circle open-sources Halo post-training framework, claims up to 2.8x TRL throughput(8 posts)→

Original post →

More from Models

Models channel →