In simple English
This tool helps you train and customize artificial intelligence language models. You can adapt a base model to follow instructions better or give safer answers. It uses advanced training methods like preference optimization and reinforcement learning. You need a powerful computer with a graphics card to run the training process. The software is free to use under an open source licence.
What it is
TRL is a Python library built on top of the Hugging Face Transformers ecosystem for post-training foundation models. It provides specialized trainer classes for supervised fine-tuning, direct preference optimization, and group relative policy optimization.
What it is good for
Solo builders and researchers who want to fine-tune open source language models on custom datasets without writing complex training loops from scratch.
- Provides ready-to-use trainers for popular alignment algorithms like DPO and GRPO.
- Integrates with PEFT and quantization tools to run on modest hardware.
- Includes a command-line interface for training models without writing Python code.
- Requires a powerful GPU with significant video memory to train language models.
- Training large models takes time and can incur high cloud computing costs.
- Requires a strong background in machine learning and Python.
Writing custom PyTorch training loops for model fine-tuning and alignment.
transformers
- huggingface/transformers168k stars
Provides the foundational model architecture and training primitives that TRL builds upon.
- unslothai/unsloth78k stars
Accelerates large language model fine-tuning with memory-efficient kernels and integrates with TRL.
- ggml-org/llama.cpp132k stars
A C and C++ library and command-line tool for running language models locally.
- EleutherAI/lm-evaluation-harness14k stars
Runs standard question sets against a language model and reports the scores.
- mudler/LocalAI50k stars
Serves text, vision, speech, image and video models from one self-hosted service that imitates the paid interfaces.
pip install trl