'Vacuum 16T': a 16.5-Trillion-Parameter Hugging Face Model Made Entirely of Zeros Exposes How HF Counts Parameters

Hugging Face (tsfrm/vacuum-16t), surfaced via r/LocalLLaMA (306 upvotes / 63 comments)·medium signalXBlueskyLinkedInCopy link

A protest artifact posted to r/LocalLLaMA (306 upvotes, 63 comments) uploads a model declaring 16,501,264,351,232 parameters across 3,841 tensors and 8.25 TB of declared size — while containing exactly 65,536 bytes of unique data, one deduplicated 64KiB block of nulls, transferred in ~692KB via Xet at roughly 11,900,000:1. The model card verifies on Hugging Face at 906 downloads under MIT with a declared 4,294,967,296-token context window. The real finding for builders is the mechanism it exploits: Hugging Face computes parameter counts from safetensors headers alone without reading tensor data, so any published parameter count is an unverified self-report.