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.
如果使用RwkvForCausalLM.from_pretrained() 加载模型,会报显存错误(v100,32G显存),请问怎么解决?