RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
我是用10w条数据进行下游任务微调时(恢复标点和大小写),+qa等各种方法生成的回答都是随机的