Unverified50% confidenceBenchmarkExact time
The official core metrics for Decision Models are: an average of 90 milliseconds per decision, approximately 76% accuracy on public benchmarks, and free local execution.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/7/2026
First Seen
Valid until: 1/5/2027
Sources
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Unverified参数量在1亿以下的轻量模型经领域数据微调后可达95%以上意图分类准确率，单次推理延迟控制在5-20ms以内71% similarVerifiedCalibrated confidence means that when the system gives a score of 0.9, the probability of being correct should be close to 90%.68% similarUnverifiedThe per-step accuracy of current top-tier models is approximately between 90% and 95%.67% similarUnverifiedExperimental data shows that when key information is located at the beginning and end of the input sequence, the model's retrieval accuracy can be as high as over 90%, but when located in the middle, it may drop sharply to below 60%.67% similarUnverifiedAt the mention level, the model achieved an overall precision of 74.1% and a recall of 70.5%.65% similar
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