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.
Juspay's open decision model. Qwen3.6-35B-A3B with a merged rank-16 LoRA, shipped with a pinned SGLang serving bundle that answers Choice, Score and Noul questions over text, images or a video through a TypeSafe-compatible /v1/systemone API.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
anyjev
xor
Fine-tuned from
qwen/qwen3-8b
qwen/qwen3.6-35b-a3b
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
77.1%
90.0%
Calibration error
0.034
0.073
Valid action rate
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—
Median latency
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69 ms
p95 latency
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162 ms
Evaluation suite
LocalLLaMA/typed-decisions (2,000 held-out decisions), L2 with 300 labels per question
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 xor?
anyjev is from Nokia and xor from Juspay. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. anyjev is the smaller model, at 8.0B parameters to 35B.
Which is more accurate, anyjev or xor?
They report on different suites — anyjev 77.1% on LocalLLaMA/typed-decisions (2,000 held-out decisions), L2 with 300 labels per question, xor 90.0% on JevBench public set (231 items), maker's self-run of Xor 1.2 — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, anyjev or xor?
anyjev: Free (open weights). xor: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run anyjev or xor locally?
Yes, both: systemone pull nokia/anyjev and systemone pull juspay/xor download the weights.
JevBench public set (231 items), maker's self-run of Xor 1.2