ModelScope is an open-source model community and hosting hub founded in June 2022 by the Institute for Intelligent Computing together with the CCF Open Source Development Committee. It lists models, datasets and Studios, which are hosted demo apps, and groups models by task: computer vision, natural language processing, speech, multimodal and scientific computing such as protein structure generation. A Python library handles inference, fine-tuning and evaluation, and the project promotes a model-as-a-service approach.
AI engineers use it to find pretrained models for tasks like OCR, translation, speech synthesis and text-to-image, then run them locally or try them in a Studio. Researchers browse new releases and benchmark datasets, while students and hobbyists follow trending models to see what the community is building. Teams training their own models can use Swift, the community's LLM training and inference toolkit that supports LoRA and similar methods, and EvalScope to run benchmarks. Developers interested in agents can look at ModelScope-Agent. Some interface text and many model descriptions are in Chinese, which suits users who work with Chinese-language models.
Common workflows include searching for a recent Qwen, DeepSeek or GLM release, testing it in a hosted Studio, and then downloading it with the ModelScope library for local inference. A data scientist might pick a speech recognition model for a transcription pipeline, fine-tune a vision model on custom images, or publish a new dataset for others to use. Research groups use the hub to share checkpoints and demos alongside papers, and companies use it to evaluate several open models against the same benchmark before choosing one for production.
