Then why attribute the work to MiMo? People mostly only attribute the model when they've outsourced the understanding along with the coding. If I understand the code I don't bother to mention the tools I used to create it.
That's still an algorithm that underwent immense amounts of tuning. The tuning here on gzip is very simple, very few parameters, and generic. There is no reason to reject it.
Also I don't know about calling GPT-2 "really tiny". You can get coherent responses out of 5-10M parameters.
They wanted a basic explanation in response to that.
Or to put it differently, I would take the sentence "He asked for a purpose and a use-case not an explanation." and replace the word "not" with a comma.
By these charts, if I only need 5-10 megabytes per second of compression on a single core, LZMA2 wins significantly on ratio, and still decompresses at well over 100. If I'm doing a backup, or sending/receiving over my internet connection (which only has 2MB/s of upload), LZMA2 easily wins. If I need speed then zstd wins.
reply