Hanno Labs' small calibrated decision model. A LoRA on Qwen3-1.7B plus trained decision-token embeddings with stable slots, returning the full distribution over up to 255 caller-defined choices and a null slot for Choice, Score and Noul questions.
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
bosun
this-that
Fine-tuned from
qwen/qwen3-1.7b
mapika/decider
License
apache-2.0
mit
Availability
Open weights
Open weights
Hosted by
—
—
Input price
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Decision accuracy
84.9%
87.8%
Calibration error
0.050
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Valid action rate
—
—
Median latency
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31.4 ms
p95 latency
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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 bosun and this-that-model?
bosun is from Hanno Labs and this-that-model from FLock.io. Both have open weights you can download and run. Both answer choice, score and noul questions. Only bosun answers classify and route. this-that-model is the smaller model, at 1.9B parameters to 2.0B. bosun is licensed apache-2.0; this-that-model, mit.
Which is more accurate, bosun or this-that-model?
They report on different suites — bosun 84.9% on DecisionBench (Hanno-Labs/decision-bench, 23,900 rows; seen task families), 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, bosun or this-that-model?
bosun: Free (open weights). this-that-model: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run bosun or this-that-model locally?
Yes, both: systemone pull hanno-labs/bosun and systemone pull flock-io/this-that-model download the weights.
DecisionBench (Hanno-Labs/decision-bench, 23,900 rows; seen task families)
