Task: Implement Large Lempel-Ziv. As a benchmark, compress all of Project Gutenberg; evaluate the resulting model numerically for autoregressive tokens/second and its ability to compress the Gutenberg corpus (perplexity), and qualitatively for its ability to write prose, technical documentation, code, poems, translations, one-shot prompts, etc. Provide a Nix flake which can be used to reproduce all results.
48x48 resolution. Higher resolution might reveal subtle differences that 48x48 misses. GlyphNet found 256x256 optimal for CNN features; the tradeoff for SSIM at that resolution is worth investigating.
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