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.
One of the earliest Jev-shaped scorers. A sequence-classification head on Qwen3.5-4B-Base scores each (state, question, option) triple and softmaxes per question. Non-commercial licence.
Decides
choice, score, noul, classify, route
choice, score, noul, classify
Architecture
lev
scorer
Fine-tuned from
qwen/qwen3.5-4b
qwen/qwen3.5-4b-base
License
apache-2.0
cc-by-nc-4.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
68.9%
70.7%
Calibration error
0.115
0.044
Valid action rate
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Median latency
69 ms
112 ms
p95 latency
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Evaluation suite
S1Bench (13 public subsets, macro)
author-reported
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 system-one-qwen3-5-4b-scorer?
lev is from Interfaze AI and system-one-qwen3-5-4b-scorer from pngwn. Both have open weights you can download and run. Both answer choice, score, noul and classify questions. Only lev answers route. lev is licensed apache-2.0; system-one-qwen3-5-4b-scorer, cc-by-nc-4.0.
Which is more accurate, lev or system-one-qwen3-5-4b-scorer?
They report on different suites — lev 68.9% on S1Bench (13 public subsets, macro), system-one-qwen3-5-4b-scorer 70.7% on author-reported — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, lev or system-one-qwen3-5-4b-scorer?
lev: Free (open weights). system-one-qwen3-5-4b-scorer: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, lev or system-one-qwen3-5-4b-scorer?
By their publishers’ figures, lev answers in about 69 ms at the median and system-one-qwen3-5-4b-scorer in about 112 ms — measured on different hardware, so treat it as a rough guide.
Can I run lev or system-one-qwen3-5-4b-scorer locally?
Yes, both: systemone pull interfaze-ai/lev and systemone pull pngwn/system-one-qwen3-5-4b-scorer download the weights.