Month: April 2026

Local LLM spam classifier — model shootout

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We tested 9 local LLM models as spam classifiers on an AMD EPYC 4545P running Ollama. Here’s what we found. After setting up the SpamAssassin + Ollama integration (see the previous post), the obvious next question was: is qwen2.5:7b actually the best choice, or did we just get lucky picking it first? So we ran … Read more

Local LLM for mail spam/ham classification Part 1

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In which I spend a Sunday morning asking a local AI to tell me whether emails about cheap Viagra are, in fact, about cheap Viagra. Spoiler: the 0.5b model cannot. The Problem SpamAssassin is great. Bayes is great. RBLs are great. But spam has gotten weird. Greek-language product spam from hacked domains with randomized subfolders … Read more