The official source reports this update: v1.16.0. Features 🛠️ TRL now trains on AWS Trainium The fused LM head from v1.15 is what made Neuron tractable; the remaining gaps are closed here. There is a guide to go with it. Neuron recompiles once per input shape, so an unpadded run stalls about a minute on every new sequence length. pad_to_multiple_of now defaults to "auto" : 128 on Neuron, None elsewhere, so nothing changes on GPU. Trainium2, Qwen3-0.6B SFT, 20 steps: 130 s with the default against 260 s without .
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TRL 1.16.0 defaults pad_to_multiple_of to "auto
The v1.16.0 release includes a guide for training on AWS Trainium. The default padding behavior has changed to "auto" for Neuron devices.
15 Oct 20261 verified claims1 sources1 observations
This official update documents a development concerning v1.16.0. Its practical significance depends on the scope and evidence stated by the source.
Read the official source update and verify its stated scope, evidence and timing before acting on it.
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