BaseDecision: a 0.4B local model wins 5 of 8 benchmarks on intent classification
OnlyFamousAddy · reddit · 2026-10-06
BaseDecision is a 0.4B open-source local model that turns typed questions into structured decisions — intent classification, routing, yes/no checks, ratings — running in just 2-2.5GB RAM.
After 320M additional training tokens, it led 5 of 8 benchmarks in a third-party comparison against Laya, two GLiNER variants, and Decision 1.0 Kai 0.6B. Full results, including losses, are public on Hugging Face and GitHub.
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