🔄The rwkv model reinvents RNNs for the Transformer era, combining properties of both architectures.
🔀The model offers efficient parallelizable training and scalable performance.
🧠The model uses a linear attention mechanism, avoiding the quadratic memory bottleneck of Transformers.
🔢The model exhibits linear scaling, even with billions of parameters.
💡The rwkv model shows comparable performance to large Transformers, despite being developed by a small team.