  Nowadays, foundation models become one of fundamental infrastructures in
artificial intelligence, paving ways to the general intelligence. However, the
reality presents two urgent challenges: existing foundation models are
dominated by the English-language community; users are often given limited
resources and thus cannot always use foundation models. To support the
development of the Chinese-language community, we introduce an open-source
project, called Fengshenbang, which leads by the research center for Cognitive
Computing and Natural Language (CCNL). Our project has comprehensive
capabilities, including large pre-trained models, user-friendly APIs,
benchmarks, datasets, and others. We wrap all these in three sub-projects: the
Fengshenbang Model, the Fengshen Framework, and the Fengshen Benchmark. An
open-source roadmap, Fengshenbang, aims to re-evaluate the open-source
community of Chinese pre-trained large-scale models, prompting the development
of the entire Chinese large-scale model community. We also want to build a
user-centered open-source ecosystem to allow individuals to access the desired
models to match their computing resources. Furthermore, we invite companies,
colleges, and research institutions to collaborate with us to build the
large-scale open-source model-based ecosystem. We hope that this project will
be the foundation of Chinese cognitive intelligence.
