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RWKV-LM
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PENG Bo 4 years ago committed by GitHub
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@ -8,7 +8,9 @@ You only need x_t, a_t, b_t of position t to compute the vectors for position t+
Hence it can be 100x faster than GPT, and 100x more VRAM friendly.
I AM STILL TRAINING A LM TO TEST ITS CONVERGENCE.
The a b c d factors work together to build a time-decay curve: u, 1, w, w^2, w^3, ...
Write out the formulas for "token at pos 2" and "token at pos 3" and you will get the idea.
The model:

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