Deconstructing RWKV
Explore linear attention theory, the WKV recurrence operator, a pure PyTorch implementation with both parallel training and O(1) recurrent inference, and head-to-head benchmarks against Transformers and LSTMs.
Linear Attention & WKV
How attention becomes a linear recurrence—the WKV operator, time mixing, channel mixing, and why RWKV trains like a Transformer but infers like an RNN.
PyTorch Implementation
Building a complete RWKV model in pure PyTorch—parallel training mode,
recurrent inference mode, and autoregressive generation. No external libraries required.
View Code on GitHub
3.2× Faster. 5.3× Less Memory.
Benchmarking RWKV against Transformer and LSTM baselines on sequence modeling—measuring training convergence, O(1) inference latency, and memory efficiency.