PaddleFormers
PaddleFormers — An easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
Overview
PaddleFormers is a Transformer model library built on the PaddlePaddle deep learning framework, designed for ease of use and high-performance capabilities. It provides a unified model definition interface, modular training components, and comprehensive distributed training strategies for large language model development pipelines. This enables developers to train large models efficiently with minimal complexity, making it suitable for diverse scenarios ranging from academic research to industrial applications.
Key Features
- Simplified Distributed Training: Implements 4D parallel strategies through unified Trainer API, lowering the barrier to distributed LLM training.
- Efficient Post-Training: Integrates Packing dataflow and FlashMask operators for SFT/DPO training, eliminating padding waste and boosting throughput.
- Industrial Storage Solution: Features Unified Checkpoint storage tools for LLMs, enabling training resumption and dynamic resource scaling.
Use Cases
- Academic Research: Researchers can use PaddleFormers to train and experiment with large language models for various NLP tasks.
- Industrial Applications: Companies can leverage PaddleFormers for efficient training and deployment of large language models in production environments.
- Model Development: Developers can utilize PaddleFormers to build and customize large language models for specific use cases.
Advantages
- Unified Model Definition Interface: Simplifies the development of large language models.
- Comprehensive Distributed Training Strategies: Enables efficient training of large models with minimal complexity.
- Modular Training Components: Allows for easy customization and extension of training pipelines.
Limitations / Considerations
- Requires Python 3.8+ and PaddlePaddle 3.1+.
- May have limitations in terms of model compatibility with other frameworks.
Similar / Related Projects
- Hugging Face Transformers: A popular library of pre-trained models for NLP, with a focus on PyTorch and TensorFlow. PaddleFormers is specifically designed for PaddlePaddle.
- TensorFlow Text: A library for natural language processing tasks built on TensorFlow. PaddleFormers offers a more focused approach on large language models and PaddlePaddle.
- Megatron-LM: A project for training large, powerful transformer language models. PaddleFormers provides a more user-friendly interface and is based on PaddlePaddle.
Basic Information
- GitHub: https://github.com/PaddlePaddle/PaddleFormers
- Stars: 12,921
- License: Unknown
- Last Commit: 2025-09-19
📊 Project Information
- Project Name: PaddleFormers
- GitHub URL: https://github.com/PaddlePaddle/PaddleFormers
- Programming Language: Python
- ⭐ Stars: 12,921
- 🍴 Forks: 2,108
- 📅 Created: 2018-12-21
- 🔄 Last Updated: 2025-09-19
🏷️ Project Topics
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