Nilky documents a floppy-disk model, failed tokenizer and unfinished follow-up
In a September 13th Hugging Face Community Article, the hobbyist says the model performed worse than a 1,000-parameter model, without providing a benchmark method or score.
By RuntimeWire Staff · Published
Primary source: Hugging Face
Why it matters
Tiny-model experiments can expose practical limits that polished release posts omit. Nilky's essay records a poor result, a tokenizer failure and an abandoned follow-up, while its missing benchmark and training details show how little can be concluded from the comparison alone.
Nilky, a Hugging Face community contributor and hobbyist, published a retrospective account of several tiny language-model experiments on September 13th, 2026. Nilky aimed to make a language model small enough to fit on one floppy disk. In the essay, they say the resulting Single Floppy model performed worse than a 1,000-parameter model.…
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