Hugging Face speeds LoRA training with new TRL update
Hugging Face has updated its TRL software: you can now train LoRA adapters—as small as a few megabytes—on one machine and then sync just those adapters to inference servers, instead of sending the full multi-gigabyte model each time. The result? Complex reinforcement learning jobs dropped from over three hours to under an hour for 500 steps. This is in TRL v1.14, using AsyncGRPOTrainer.
- LoRA adapter sync now supported in TRL v1.14
- Adapter size: a few megabytes, full model ~3GB
- No need for models and inference to share a machine
- Proxy distributes adapters and routes requests to correct replica
- Five test runs cut from 3h27m to 53m for 500 steps
Sources covering this
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