AI article

I was tired of letting the OOM killer do my VRAM math, so I wrote a one-file CLI

Community description: My workflow for trying a new local model used to be: download 4 GB, watch the progress bar, then read...

Dev.to | Oct 22, 2026 | TECHDEV

Automated excerpt

So I wrote ggufit: one Python file, standard library only, no install. Point it at a . gguf file and it reads the actual header — tensor table, quantization types, layer count, KV heads — and answers the only question that matters: Verdict: TIGHT — only 0. 14 GB headroom; one Chrome tab away from OOM KV cache is not a footnote. The weights number is measured from the file; everything estimated is labeled as estimated, because a guess wearing a lab coat is still a guess.

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