A training-free layer that turns an open LLM into a decision model. It reads typed choice, yes/no and score answers from one prefill, removes option-order bias with no labels and, from a few hundred labels, calibrates or fits a closed-form head. Weights stay untouched.
A 2.8 MB byte-level transformer for GUI form filling. For each form element it returns one probability per typed option (fill an entity, check, click or skip), using jevlike's option-attention head.
Decides
choice, score, noul, classify, route
choice
Architecture
anyjev
cua-s1
Fine-tuned from
qwen/qwen3-8b
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License
apache-2.0
mit
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
77.1%
100.0%
Calibration error
0.034
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Valid action rate
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Median latency
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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 anyjev and cua-s1-forms?
anyjev is from Nokia Applied Research and cua-s1-forms from Cua. Both have open weights you can download and run. Both answer choice questions. Only anyjev answers score, noul, classify and route. cua-s1-forms is the smaller model, at 706K parameters to 8.0B. anyjev is licensed apache-2.0; cua-s1-forms, mit.
Which is more accurate, anyjev or cua-s1-forms?
They report on different suites — anyjev 77.1% on LocalLLaMA/typed-decisions (2,000 held-out decisions), L2 with 300 labels per question, cua-s1-forms 100.0% on 196-decision evaluation on real forms — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, anyjev or cua-s1-forms?
anyjev: Free (open weights). cua-s1-forms: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run anyjev or cua-s1-forms locally?
Yes, both: systemone pull nokia-applied-research/anyjev and systemone pull cua/cua-s1-forms download the weights.
Evaluation suite
LocalLLaMA/typed-decisions (2,000 held-out decisions), L2 with 300 labels per question