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TRL

Full stack library to post-train foundation models with RL

Apache-2.0

ABOUT

Post-training large language models with reinforcement learning and preference optimization involves complex algorithms and infrastructure. TRL simplifies this by providing ready-to-use trainers, CLI tools, and seamless integrations with PEFT, DeepSpeed, and vLLM for efficient scaling.

INSTALL
pip install trl

INTEGRATION GUIDE

1. Supervised fine-tuning of language models with SFTTrainer 2. Preference alignment using DPOTrainer and GRPOTrainer 3. Reward modeling for RLHF pipelines 4. Multi-GPU distributed training with DeepSpeed and FSDP

TAGS

pythontransformersreinforcement-learningllmfine-tuninghuggingfacepeftdeepspeedopen-sourcemachine-learning
TRL — AI Tool | Agentic AI For Good