Lewis Tunstall shares TRL v1.15.0 release notes and a Triton kernel for long-context training
Overview
Hugging Face's Lewis Tunstall announces the release of TRL v1.15.0, with release notes linked on GitHub.
In a second post, he says v1.15 includes a new Triton kernel that scales SFT and RL training to over 100k tokens on the same GPU, and urges TRL users to upgrade. The posts do not describe other changes in the release, and the 100k-token figure is Tunstall's own claim.
Written by AI from the articles below · updated Oct 10, 1:42 PM ET
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Developments
2 developments
- Oct 10, 1:38 PM ET · 1 articleLewis Tunstall shares release notes for TRL v1.15.0Lewis Tunstall: TRL v1.15.0 is released on GitHub
- Oct 10, 1:38 PM ET · 1 articleTRL v1.15 adds Triton kernel scaling SFT/RL beyond 100k tokens on one GPULewis Tunstall: TRL v1.15 adds Triton kernel scaling SFT and RL past 100k tokens
Article timeline
The articles in this story. Times are ET.
Lewis Tunstall @ COLM 🌉@_lewtunXTRL v1.15.0 is released on GitHubAIHugging Face's Lewis Tunstall announces the release of TRL v1.15.0, with release notes linked on GitHub. The post gives no further details of the changes.
Lewis Tunstall @ COLM 🌉@_lewtunXTRL v1.15 adds Triton kernel scaling SFT and RL past 100k tokensAIHugging Face's Lewis Tunstall says TRL v1.15 includes a new Triton kernel that scales SFT and RL training to over 100k tokens on the same GPU. He urges users of TRL to upgrade to the release.

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