Small open typed-decision model with calibrated probabilities, first-class Nepali coverage.
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.
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 mira and this-that-model?
mira is from SAGEA and this-that-model from FLock.io. Both have open weights you can download and run. Both answer choice, score and noul questions. Only mira answers classify and route. mira is licensed apache-2.0; this-that-model, mit.
Which is more accurate, mira or this-that-model?
They report on different suites — mira 74.5% on s1-decision-bench, 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, mira or this-that-model?
mira: Free (open weights). this-that-model: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, mira or this-that-model?
By their publishers’ figures, mira answers in about 30 ms at the median and this-that-model in about 31.4 ms — measured on different hardware, so treat it as a rough guide.
Can I run mira or this-that-model locally?
Yes, both: systemone pull sagea/mira and systemone pull flock-io/this-that-model download the weights.