HuggingFace TRL v1.13 ships long-context training beyond 1M tokens
SergioPaniego · x · 2026-09-13
HuggingFace released TRL v1.13 with support for training models on sequences beyond 1M tokens.
A new long-context guide breaks down the four things that break as sequences grow — the loss, the positions, the activations, and a single GPU's memory — and ends with a worked example training Qwen3-8B on million-token sequences on a single 8-GPU node.
TRL is the open-source library (19.3k GitHub stars) for post-training foundation models with reinforcement learning.
Related event: Hugging Face TRL v1.13 Enables Training on 1M-Token Sequences(2 posts)→
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