Caliber Flex 1B by OnePass. Decision-only model, exactly 1,000,000,000 parameters.
A 4B decision model fine-tuned from Qwen3.5-4B-Base. A state and typed questions (choice, yes/no, score) go in; a temperature-calibrated probability for every option comes out of one pass, through a self-hosted /v1/systemone-compatible server. Apache-2.0 weights and code.
Decides
choice, noul, score
choice, score, noul, classify, route
Architecture
llm
wald
Fine-tuned from
qwen/qwen3.5-0.8b-base
qwen/qwen3.5-4b-base
License
caliber-flex-non-commercial-1.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
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88.3%
Calibration error
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0.045
Valid action rate
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Median latency
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33 ms
p95 latency
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168 ms
Evaluation suite
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JevBench public set (231 items; 204 correct), maker's run with the JevBench CLI, v1.2, effort none; items used as a development scoreboard
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 caliber-flex-1b and wald?
caliber-flex-1b is from onepass and wald from ORG2 AI. Both have open weights you can download and run. Both answer choice, noul and score questions. Only wald answers classify and route. caliber-flex-1b is licensed other; wald, apache-2.0.
Which is more accurate, caliber-flex-1b or wald?
Only wald publishes an accuracy figure (88.3% on JevBench public set (231 items; 204 correct), maker's run with the JevBench CLI, v1.2, effort none; items used as a development scoreboard); caliber-flex-1b does not, so there is no comparison to make without your own test.
Which is cheaper, caliber-flex-1b or wald?
caliber-flex-1b: Free (open weights). wald: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run caliber-flex-1b or wald locally?
Yes, both: systemone pull onepass/caliber-flex-1b and systemone pull org2ai/wald download the weights.
Latest version
0.3.0
1.2.0
Variants
LICENSE, Modelfile, merged
Dockerfile, LICENSE, NOTICE, model-files, reference, server
