Small-model orchestration roughly doubled task completion in a 100-task benchmark
_raydeStar · reddit · 2026-07-29
A local-LLM practitioner reports that most orchestration techniques failed on small models, but the surviving 10% roughly doubled task completion.
The post argues that orchestration is an engineering problem: using a 100-task verified benchmark, it found that scaffolding did not help recall, but did help models actually finish tasks. Results included LFM 1.2B improving from 15/100 to 32/100, LFM 2.5 8B from 24/100 to 48/100, Gemma 4 26B-A4B from 23/100 to 56/100, and Luna from 22/100 to 66/100. The author emphasizes repeatability, tool use, and not letting models hard-code answers.
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