#LemonDecider

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Nov 10
ModelsBuildersSelected00:29
Ant open-sources LemonDecider, a 4B decision model beating Jev 1.14

Decision-specific micro-models are shifting routing and gating workloads away from large general LLMs, cutting both latency and cost in agent pipelines. Developers building multi-step agent workflows or RAG evaluators can drop LemonDecider in as a fast classifier, and its open training data makes custom fine-tuning feasible. Compared with general models like Qwen3.5-4B or Jev 1.14, it trades generality for a measurable benchmark lead and millisecond-level inference.

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