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RWKV-LM
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PENG Bo 4 years ago committed by GitHub
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@ -6,6 +6,8 @@ RWKV v2 is a RNN with Transformer-level performance, which can also be directly
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. 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.
Reddit discussion: https://www.reddit.com/r/MachineLearning/comments/umq908/r_rwkvv2rnn_a_parallelizable_rnn_with/
I am training it on the Pile (https://github.com/BlinkDL/RWKV-v2-RNN-Pile) and it might reach GPT-Neo performance within 100B tokens: I am training it on the Pile (https://github.com/BlinkDL/RWKV-v2-RNN-Pile) and it might reach GPT-Neo performance within 100B tokens:
![RWKV-v2-430M-Pile](RWKV-v2-430M-Pile.png) ![RWKV-v2-430M-Pile](RWKV-v2-430M-Pile.png)

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