This is a completely open DeepSeek-R1 model reproduction project, designed to help developers reproduce and build R1-based models.
huggingface/open-r1 is an open source project dedicated to replicating the DeepSeek-R1 model. The project provides a series of scripts and tools for training, evaluation, and generation of synthetic data, supporting a variety of training methods and hardware configurations. Its main advantage is that it is completely open, allowing developers to use and improve it freely. It is a very valuable resource for users who want to conduct research and development in the fields of deep learning and natural language processing. The project currently has no clear pricing and is suitable for academic research and commercial use.
This project is suitable for developers, researchers, and enterprise users who want to conduct research and development in the field of natural language processing. It provides a complete framework to help users reproduce and improve the DeepSeek-R1 model, while supporting a variety of hardware configurations and training methods, suitable for projects of different sizes and needs.
Use SFT methods to fine-tune models to specific natural language processing tasks.
Optimize model performance through the GRPO method and improve the model's performance in inference tasks.
Use Distilabel to generate synthetic data to enhance the generalization ability of the model.
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