RWKV: A Novel Language Model Blending RNN and Transformer Strengths
2025-01-02
RWKV is a novel Recurrent Neural Network (RNN) language model that combines the best of RNNs and Transformers, achieving superior performance. Unlike traditional Transformers, RWKV boasts linear time and constant space complexity, fast training, infinite context length, and is attention-free. The current version, RWKV-7, offers various demos and tools, including WebGPU demos, fine-tuning utilities, and servers for fast inference. It also features a vibrant community and numerous related projects, and is a Linux Foundation AI project.
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