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SMLL: Using 200MB of Neural Network to Save 400 Bytes

frankchiarulli.com · published 6 February 2026

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https://en.wikipedia.org/wiki/Shannon%27s_source_coding_theorem
en.wikipedia.org
https://en.wikipedia.org/wiki/Entropy_(information_theory
en.wikipedia.org
https://en.wikipedia.org/wiki/Arithmetic_coding
en.wikipedia.org
https://arxiv.org/abs/2309.10668
arxiv.org
https://bellard.org/ts_zip/
bellard.org
http://prize.hutter1.net/
prize.hutter1.net
https://en.wikipedia.org/wiki/Huffman_coding
en.wikipedia.org
https://github.com/ggerganov/llama.cpp
github.com
https://en.wikipedia.org/wiki/Cross-entropy
en.wikipedia.org
https://en.wikipedia.org/wiki/Solomonoff%27s_theory_of_inductive_inference
en.wikipedia.org
https://en.wikipedia.org/wiki/Kolmogorov_complexity
en.wikipedia.org
https://github.com/fcjr/smll
github.com
https://www.recurse.com/
recurse.com
https://github.com/kshitijl
github.com
https://www.recurse.com/apply
recurse.com
https://github.com/fcjr/frankchiarulli.com/edit/main/public/smll/index.md
github.com