Ultra-small English encoders (17M, 68M and 395M) fine-tuned from Ettin rerankers. Each answers choice, noul and score questions with a probability per candidate and no generated text. Experimental v0 by one developer; the weights have no licence assigned yet.
Omar (kouhxp)'s CPU decision model: a Qwen3.5-0.8B fine-tune shipped as GGUF for llama.cpp that answers yes/no, choice and score questions with a probability per option plus a 'none of these' reject probability, served by a local Jev-style HTTP runtime.
Decides
choice, noul, score
choice, score, noul, classify, route
Architecture
bekko
gutsy
Fine-tuned from
cross-encoder/ettin-reranker-400m-v1
qwen/qwen3.5-0.8b
License
Unassigned: the weights licence is not finalised (treated as non-commercial); training code MIT
apache-2.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
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73.2%
Calibration error
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Valid action rate
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Median latency
5 ms
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p95 latency
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 bekko-system-one and gutsy?
bekko-system-one is from Yuichi Tateno (hotchpotch) and gutsy from Omar (kouhxp). Both have open weights you can download and run. Both answer choice, noul and score questions. Only gutsy answers classify and route. bekko-system-one is the smaller model, at 395M parameters to 800M. bekko-system-one is licensed other; gutsy, apache-2.0.
Which is more accurate, bekko-system-one or gutsy?
Only gutsy publishes an accuracy figure (73.2% on JevBench public set (231 items; 169 correct), the maker's own run with Q8_0); bekko-system-one does not, so there is no comparison to make without your own test.
Which is cheaper, bekko-system-one or gutsy?
bekko-system-one: Free (open weights). gutsy: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run bekko-system-one or gutsy locally?
Yes, both: systemone pull hotchpotch/bekko-system-one and systemone pull kouhxp/gutsy download the weights.
5.4 ms
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Evaluation suite
The maker's short-input speed probe (4-option Choice, RTX 5090, 1 Oct 2026)
JevBench public set (231 items; 169 correct), the maker's own run with Q8_0
