RWKV is a revolutionary deep learning architecture that combines the best features of RNN and Transformer. It offers excellent performance, fast reasoning and training, and does not depend on the self-attention mechanism, saving VRAM and supporting 'infinite' context length. RWKV excels in various language and encoding tasks, becoming a popular choice among developers globally, promoting the advancement of open source large language models.