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.
如题,因为看到huggingface上有单CHNTuned和单JPNTuned的版本,想问下可否提供一个同时CHN+JPNTuned的版本呢?