TRL - Transformer Reinforcement Learning
Quick start
TRL provides post-training methods for aligning language models with human preferences.
Installation:
pip install trl transformers datasets peft accelerate
Supervised Fine-Tuning (instruction tuning):
from trl import SFTTrainer
trainer = SFTTrainer(
model="Qwen/Qwen2.5-0.5B",
train_dataset=dataset, # Prompt-completion pairs
)
trainer.train()
DPO (align with preferences):
from
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