An open Jev-style decision model by Andy Zhang: a LoRA adapter on Gemma 4 26B-A4B (also on Gemma 4 12B) that reads a state and returns a temperature-calibrated probability for every option of a yes/no, choice or score question in one forward pass.
An independent Jev-shaped reproduction on DeBERTa-v3-large. One state and any number of choice, score and yes/no questions go in, and a calibrated distribution per question comes out of one forward pass. Public gold labels only.
Decides
choice, score, noul
choice, score, noul, classify
Architecture
ajev
open-jev
Fine-tuned from
google/gemma-4-26b-a4b-it
microsoft/deberta-v3-large
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
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85.4%
Calibration error
—
0.022
Valid action rate
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Median latency
49 ms
28 ms
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 ajev and open-jev-deberta-v3-large?
ajev is from Andy Zhang and open-jev-deberta-v3-large from Kotoba Labs. Both have open weights you can download and run. Both answer choice, score and noul questions. Only open-jev-deberta-v3-large answers classify. open-jev-deberta-v3-large is the smaller model, at 434M parameters to 26B.
Which is more accurate, ajev or open-jev-deberta-v3-large?
Only open-jev-deberta-v3-large publishes an accuracy figure (85.4% on Kotoba held-out test, seen question types (banking77, SST-5, BoolQ)); ajev does not, so there is no comparison to make without your own test.
Which is cheaper, ajev or open-jev-deberta-v3-large?
ajev: Free (open weights). open-jev-deberta-v3-large: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, ajev or open-jev-deberta-v3-large?
By their publishers’ figures, open-jev-deberta-v3-large answers in about 28 ms at the median and ajev in about 49 ms — measured on different hardware, so treat it as a rough guide.
Can I run ajev or open-jev-deberta-v3-large locally?
Yes, both: systemone pull andy-zhang/ajev and systemone pull kotoba-labs/open-jev-deberta-v3-large download the weights.
Evaluation suite
Sequential requests, the maker's own measurement
Kotoba held-out test, seen question types (banking77, SST-5, BoolQ)
