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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.
Support for running RWKV 4/5 World models locally from the command line for conversation and small talk. Support is provided through the prompt.txt defines the prompt for the model. Support Mirostat algorithm and traditional Top-k, Top-p for decoding.