RWKV 5 is an open-source large language model architecture that merges the strengths of RNNs and Transformers to provide fast, scalable, and constant-space LLM performance without attention mechanisms. Designed for researchers, developers, and organizations interested in next-generation language models, it supports efficient training and inference, infinite context length, and free text embedding, while being highly parallelizable and accessible via multiple platforms.
Visit RWKV 5's official website for product details and getting started.