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compressdata

Check references at docs/references.

I am using RWKV for compression. It is pretty good, the layers are stackable.

N Layers kb/min # Params gpu allocation
RWKV 1 "1202,36" 0.06M 1.09G
RWKV 2 "714,29" 0.11M 1.42G
RWKV 4 "380,08" 0.22M 1.84G
RWKV 8 "202,10" 0.42M 3.43G
"Tensorflow-compress (Mao, Y. et. al, 2022)" "30,72~163,8 " 258.3M 10.64G
"NNCP (Mao, Y. et. al, 2022)" "28,6~122,9" 151M-224M 7.75G
"Dzip (Mao, Y. et. al, 2022)" "399,4" 1M 6.39G
"TRACE (Mao, Y. et. al, 2022)" "952,3" 2.40M 2.02G
"TRACE+BP controller (Mao, Y. et. al, 2022)" "1228,8" 2.40M 2.02G

TRACE+BP is not open source, and they use a better graphics card, I have to test because I think in my computer it would be a lot slower.

Name of document Ratio File size Type
enwik8 1 100000000 Original
enwik8_1_1024.compressed 3,43 29120871 RWKV
enwik8_2_1024.compressed 3,71 26958823 RWKV
enwik8_4_1024.compressed 3,97 25215016 RWKV
enwik8_8_1024.compressed 4,15 24114950 RWKV
enwik8.zip 2,74 36445475 Traditional
gzip -9 enwik8.gz 2,74 36445248 Traditional
7z enwik 3,83 26080305 Traditional

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