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.
Together AI's Jev-style classifier. A LoRA fine-tune of Qwen3.5-4B that reads a state, a question and 2 to 24 options and returns one option letter. Served on Together's platform; recipe published.
Decides
choice, score, noul, classify
choice, classify, route
Architecture
open-jev
tev
Fine-tuned from
microsoft/deberta-v3-large
qwen/qwen3.5-4b
License
apache-2.0
Unspecified — weights licence being finalised
Availability
Open weights
Open weights + hosted API
Hosted by
—
Together AI
Input price
—
$0.042/MTok
Decision accuracy
85.4%
88.0%
Calibration error
0.022
—
Valid action rate
—
—
Median latency
28 ms
—
p95 latency
—
—
Evaluation suite
Kotoba held-out test, seen question types (banking77, SST-5, BoolQ)
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 open-jev-deberta-v3-large and tev1?
open-jev-deberta-v3-large is from Kotoba Labs and tev1 from Together AI. open-jev-deberta-v3-large has open weights you can download and run; tev1 has open weights and a hosted API. Both answer choice and classify questions. Only open-jev-deberta-v3-large answers score and noul. Only tev1 answers route. open-jev-deberta-v3-large is the smaller model, at 434M parameters to 4.0B. open-jev-deberta-v3-large is licensed apache-2.0; tev1, other.
Which is more accurate, open-jev-deberta-v3-large or tev1?
They report on different suites — open-jev-deberta-v3-large 85.4% on Kotoba held-out test, seen question types (banking77, SST-5, BoolQ), tev1 88.0% on Together development set (reused, not held out) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, open-jev-deberta-v3-large or tev1?
open-jev-deberta-v3-large: Free (open weights). tev1: $0.042 / $0 per 1M, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run open-jev-deberta-v3-large or tev1 locally?
Yes, both: systemone pull kotoba-labs/open-jev-deberta-v3-large and systemone pull together-ai/tev1 download the weights.
