RWKV 4 Raven is an instruction-tuned variant of the RWKV architecture, which replaces the transformer's attention mechanism with a recurrent structure. This gives it linear scaling with sequence length rather than quadratic, making it more memory-efficient on long inputs. It trades some of the raw capability ceiling of attention-based models for a leaner computational footprint.