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.
A 144M-parameter System One model on the multilingual mmBERT-small encoder. Takes a state, a question and 2 to 20 options and returns one decision with probabilities for choice, score and yes/no questions, on a CPU.
Decides
choice, score, noul, classify, extract, route
choice, score, noul, classify, route
Architecture
gliner2
julia
Fine-tuned from
fastino/gliner2-large-v1
jhu-clsp/mmbert-small
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%
73.2%
Calibration error
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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 julia-1?
gliner2-5-decide is from Fastino Labs and julia-1 from Supersonic Labs. gliner2-5-decide has open weights and a hosted API; julia-1 has open weights you can download and run. Both answer choice, score, noul, classify and route questions. Only gliner2-5-decide answers extract. julia-1 is the smaller model, at 144M parameters to 340M.
Which is more accurate, gliner2-5-decide or julia-1?
They report on different suites — gliner2-5-decide 60.2% on Fastino fast-decisions suite (17 datasets), julia-1 73.2% on typed-decisions test set (400 cases, 2,000 questions) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, gliner2-5-decide or julia-1?
gliner2-5-decide: Hosted, price not published, or free to self-host. julia-1: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run gliner2-5-decide or julia-1 locally?
Yes, both: systemone pull fastino-labs/gliner2-5-decide and systemone pull supersonic-labs/julia-1 download the weights.
Evaluation suite
Fastino fast-decisions suite (17 datasets)
typed-decisions test set (400 cases, 2,000 questions)
