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.
Invergent's decision model for text and images. A fine-tune of Gemma-4-26B-A4B (about 4B parameters active per token) that answers Choice, Noul and Score questions, with an optional thinking mode for harder questions.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
kev
rune
Fine-tuned from
qwen/qwen3.5-4b-base
google/gemma-4-26b-a4b-it
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights + hosted API
Hosted by
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Invergent
Input price
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Decision accuracy
83.8%
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Calibration error
0.042
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Valid action rate
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Median latency
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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 kev and rune?
kev is from Jared Palmer and rune from Surogate (Invergent). kev has open weights you can download and run; rune has open weights and a hosted API. Both answer choice, score, noul, classify and route questions. rune reads up to 262K tokens of state, against 8K tokens for kev. kev is the smaller model, at 4.0B parameters to 26B.
Which is more accurate, kev or rune?
Only kev publishes an accuracy figure (83.8% on transfer-v4 (locked, out of domain)); rune does not, so there is no comparison to make without your own test.
Which is cheaper, kev or rune?
kev: Free (open weights). rune: Hosted, price not published, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run kev or rune locally?
Yes, both: systemone pull jared-palmer/kev and systemone pull surogate/rune download the weights.
