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.
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The device of model.w["emb.weight"] is in CPU #249
Hi, I am using RWKV-6-world-7b and find the emb.weight is at CPU. I wonder why it is not put to the CUDA. Would it be faster in the GPU?