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.
RWKV 5 supported vLLM?LMdeploy?TGI?Fastllm?FasterTransformer?
What should I do to get the inference performance?like throughput, token latency and latency?
RWKV 5 supported vLLM?LMdeploy?TGI?Fastllm?FasterTransformer? What should I do to get the inference performance?like throughput, token latency and latency?