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trl
Reference for the TRL (Transformer Reinforcement Learning) library codebase. Use proactively before reading or editing any file under `trl/` so you have the intended contracts and invariants in mind, not just what the current code says. Covers trainer hierarchy (SFT, DPO, GRPO, KTO), shared utility functions (selective_log_softmax, decode_and_strip_padding, padding helpers), configuration system, model wrappers, and how data flows through any TRL trainer.
tasks/debug-trl-grpo/environment/skills/trl/SKILL.md
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# TRL Library Reference
## Package Structure
TRL is organized around a trainer hierarchy that extends Hugging Face `transformers.Trainer`.
```
trl/
├── trainer/
│ ├── grpo_trainer.py # GRPOTrainer
│ ├── grpo_config.py # GRPOConfig
│ ├── sft_trainer.py # SFTTrainer (supervised fine-tuning)
│ ├── dpo_trainer.py # DPOTrainer (direct preference optimization)
│ ├── kto_trainer.py # KTOTrainer (Kahneman-Tversky optimization)