A local, Jev-compatible decision model from Rizzo AI Academy. XHToken's Spark-X2.5-4B with a merged typed-decisions LoRA, run on llama.cpp; yes/no, choice and score questions share one prefill of the state and are read from the answer-letter logits. No text is generated.
FLock.io's typed-decision model, fine-tuned from Mapika's decider-2b. Reads one hidden state per question and scores the declared options, so an answer outside the list cannot occur; several questions about one state share a forward pass.
Decides
choice, score, noul, classify, route
choice, score, noul
Architecture
rizzo-flow
this-that
Fine-tuned from
xhtoken/spark-x2.5-4b
mapika/decider
License
apache-2.0
mit
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
64.8%
87.8%
Calibration error
0.112
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Valid action rate
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Median latency
195 ms
31.4 ms
p95 latency
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Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
Questions
What is the difference between rizzo-flow and this-that-model?
rizzo-flow is from Rizzo AI Academy and this-that-model from FLock.io. Both have open weights you can download and run. Both answer choice, score and noul questions. Only rizzo-flow answers classify and route. this-that-model is the smaller model, at 1.9B parameters to 4.0B. rizzo-flow is licensed apache-2.0; this-that-model, mit.
Which is more accurate, rizzo-flow or this-that-model?
They report on different suites — rizzo-flow 64.8% on LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions), Q8_0, this-that-model 87.8% on limberc/this-that-complex-decisions (1,710 questions, FLock's benchmark) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, rizzo-flow or this-that-model?
rizzo-flow: Free (open weights). this-that-model: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, rizzo-flow or this-that-model?
By their publishers’ figures, this-that-model answers in about 31.4 ms at the median and rizzo-flow in about 195 ms — measured on different hardware, so treat it as a rough guide.
Can I run rizzo-flow or this-that-model locally?
Yes, both: systemone pull rizzo-ai-academy/rizzo-flow and systemone pull flock-io/this-that-model download the weights.
Evaluation suite
LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions), Q8_0
