An open System One model from Interfaze AI. A rank-32 LoRA on Qwen3.5-4B reads yes/no, choice and score answers from the logits of one forward pass, returns calibrated probabilities and serves the /v1/systemone API.
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, classify, route
choice, score, noul, classify
Architecture
lev
open-jev
Fine-tuned from
qwen/qwen3.5-4b
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
68.9%
85.4%
Calibration error
0.115
0.022
Valid action rate
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Median latency
69 ms
28 ms
p95 latency
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Evaluation suite
S1Bench (13 public subsets, macro)
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 lev and open-jev-deberta-v3-large?
lev is from Interfaze AI and open-jev-deberta-v3-large from Kotoba Labs. Both have open weights you can download and run. Both answer choice, score, noul and classify questions. Only lev answers route. open-jev-deberta-v3-large is the smaller model, at 434M parameters to 4.0B.
Which is more accurate, lev or open-jev-deberta-v3-large?
They report on different suites — lev 68.9% on S1Bench (13 public subsets, macro), open-jev-deberta-v3-large 85.4% on Kotoba held-out test, seen question types (banking77, SST-5, BoolQ) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, lev or open-jev-deberta-v3-large?
lev: Free (open weights). open-jev-deberta-v3-large: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, lev or open-jev-deberta-v3-large?
By their publishers’ figures, open-jev-deberta-v3-large answers in about 28 ms at the median and lev in about 69 ms — measured on different hardware, so treat it as a rough guide.
Can I run lev or open-jev-deberta-v3-large locally?
Yes, both: systemone pull interfaze-ai/lev and systemone pull kotoba-labs/open-jev-deberta-v3-large download the weights.
Kotoba held-out test, seen question types (banking77, SST-5, BoolQ)
