RWKV7 G1 operates on a fundamentally different architecture than most modern language models — it uses a recurrent structure instead of the transformer attention mechanism, which means it processes sequences with constant memory regardless of context length. This gives it a distinctive efficiency profile: memory usage stays flat as conversations grow longer, unlike attention-based models that scale quadratically.