An open family of System One models. A LoRA adapter plus a pointer head on a frozen Qwen base returns a distribution per typed question in one forward pass, serves TypeSafe's /v1/systemone contract, and ships a fitted temperature with every checkpoint.
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
kev
this-that
Fine-tuned from
qwen/qwen3.5-4b-base
mapika/decider
License
apache-2.0
mit
Availability
Open weights
Open weights
Hosted by
—
—
Input price
—
—
Decision accuracy
83.8%
87.8%
Calibration error
0.042
—
Valid action rate
—
—
Median latency
—
31.4 ms
p95 latency
—
—
Evaluation suite
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 kev and this-that-model?
kev is from Jared Palmer and this-that-model from FLock.io. Both have open weights you can download and run. Both answer choice, score and noul questions. Only kev answers classify and route. this-that-model is the smaller model, at 1.9B parameters to 4.0B. kev is licensed apache-2.0; this-that-model, mit.
Which is more accurate, kev or this-that-model?
They report on different suites — kev 83.8% on transfer-v4 (locked, out of domain), 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, kev or this-that-model?
kev: Free (open weights). this-that-model: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run kev or this-that-model locally?
Yes, both: systemone pull jared-palmer/kev and systemone pull flock-io/this-that-model download the weights.
