FlagAI

FlagAI is a fast, easy-to-use, and extensible toolkit for training, fine-tuning, and deploying large-scale AI models. Created by the Beijing Academy of Artificial Intelligence (BAAI), it is particularly strong on Chinese language tasks while covering English and multimodal work as well.

Overview

FlagAI provides a unified API to download and work with more than 30 mainstream pre-trained models, including BAAI’s Aquila language models, the AltCLIP multilingual vision-language model, the AltDiffusion text-to-image model, EVA-CLIP, GLM, BERT, RoBERTa, GPT-2, and T5. For training at scale, it integrates the four major parallel frameworks, PyTorch, DeepSpeed, Megatron-LM, and BMTrain, so data and model parallelism can be set up in under ten lines of code. A prompt-learning toolkit supports few-shot tasks, and built-in dataset support covers benchmarks such as CLUE and SuperGLUE for classification, extraction, QA, summarization, and generation. FlagAI is open source under the Apache-2.0 license, has over 3,800 stars on GitHub, and remains maintained, with updates in 2026.

Key Features

• Unified API for 30+ pre-trained language and multimodal models
• Large-scale parallel training via DeepSpeed and Megatron-LM
• Fine-tuning and deployment tooling for downstream tasks
• Prompt-learning toolkit for few-shot learning
• Strong Chinese NLP support with CLUE benchmark datasets
• Includes BAAI models such as Aquila, AltCLIP, and AltDiffusion

💳 Pricing

FlagAI is free and open source under the Apache-2.0 license. Models and datasets are downloadable at no cost, and there is no paid edition of the toolkit.

Who Is It For

Researchers and engineering teams training or fine-tuning large models, especially those working on Chinese language understanding and generation.