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飞智是一个快速、易于使用和可扩展的大模型工具包。 我们的目标是支持在多模态的各种下游任务上训练、微调和部署大规模模型。 目前,我们专注于 NLP 模型和任务。 在不久的将来,我们将支持其他模态。
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* 现在支持多模态模型[**AltCLIP**](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltCLIP)和文生图模型[**AltDiffusion**](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltDiffusion).现在它支持最高百亿参数的**悟道GLM**(详见[GLM介绍](/doc_zh/GLM.md))。它同时也支持**OPT**、**BERT**、**RoBERTa**、**GPT2**、**T5**模型和 Huggingface Transformers 的模型。
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FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model. Our goal is to support training, fine-tuning, and deployment of large-scale models on various downstream tasks with multi-modality.
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* Now it supports text-image multi-modal model [**AltCLIP**](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltCLIP) and text-to-imge model [**AltDiffusion**](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltDiffusion). And it support **WuDao GLM** with a maximum of 10 billion parameters (see [Introduction to GLM](/docs/GLM.md)). It also supports **OPT**, **BERT**, **RoBERTa**, **GPT2**, **T5**, and models from Huggingface Transformers.
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