Fastino's open-weight decision model. A DeBERTa-v3-large encoder that scores label sets supplied at runtime, answers single-label, multi-label, yes/no and ordinal questions in one pass, and extracts spans and relations.
An open family of System One models. A LoRA adapter plus a pointer head on a frozen Qwen base returns a distribution per typed question in one forward pass, serves TypeSafe's /v1/systemone contract, and ships a fitted temperature with every checkpoint.
Decides
choice, score, noul, classify, extract, route
choice, score, noul, classify, route
Architecture
gliner2
kev
Fine-tuned from
fastino/gliner2-large-v1
qwen/qwen3.5-4b-base
License
apache-2.0
apache-2.0
Availability
Open weights + hosted API
Open weights
Hosted by
Fastino
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Input price
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Decision accuracy
60.2%
83.8%
Calibration error
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0.042
Valid action rate
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Median latency
38.3 ms
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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 gliner2-5-decide and kev?
gliner2-5-decide is from Fastino Labs and kev from Jared Palmer. gliner2-5-decide has open weights and a hosted API; kev has open weights you can download and run. Both answer choice, score, noul, classify and route questions. Only gliner2-5-decide answers extract. gliner2-5-decide is the smaller model, at 340M parameters to 4.0B.
Which is more accurate, gliner2-5-decide or kev?
They report on different suites — gliner2-5-decide 60.2% on Fastino fast-decisions suite (17 datasets), kev 83.8% on transfer-v4 (locked, out of domain) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, gliner2-5-decide or kev?
gliner2-5-decide: Hosted, price not published, or free to self-host. kev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run gliner2-5-decide or kev locally?
Yes, both: systemone pull fastino-labs/gliner2-5-decide and systemone pull jared-palmer/kev download the weights.
