IdeaRadar
Accordra
Catch model loops, quant/head mismatches and crashes before deploy
Score 8.0/10 · Build now
Smart tools
7 June 2026
Proof at a glance
8.0 out of 10. Score 8.0/10 · Build now
The problem
Your local AI that worked in tests quietly collapses when customers arrive. The crisis hits when someone swaps to a faster quant or turns on multi-slot serving and the model loops, drops accuracy, or the server dies mid-demo. Indie devs and small teams running local big models on one box lose hours or a client when this happens — a single bad deploy can cost $200–$1,200 in emergency hours or lost deals. No existing bench or dashboard runs a deterministic, build-specific 90‑second preflight for quant/head drift and multi-slot stress; a flurry of forum posts in 2026 shows Gemma 4 quant/template updates are creating reproducible failures (see vLLM and Gemma issue threads).
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