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Zefan CaiModel

Open-Jev-27B-v1.1

Open-Jev-27B-v1.1 produces typed probabilities for decisions from a supplied context, questions, and candidates, without autoregressive answer generation or generated-JSON parsing. Its released package contains LoRA adapters, a trained scalar decision head, and a saved calibration temperature; it requires pinned upstream Qwen weights and the Open-Jev loader.

What it does

Developers can use Jev to classify, route, score, extract, or branch on structured decisions in software workflows.

Availability
Early access available today; developers are being brought off the waitlist.
Pricing model
Input tokens: $0.042 per million tokens; output tokens are free.
Deployment
Service is currently based on the West Coast.
Privacy
Not established
Licence
Terms of Use
Capability
analysisextractionautomation
Modality
text
Access
API
Deployment
hosted
Pricing
usage-based
Target user
developer

Evidence

14 claims
  • Supported question types are choice and yes/no, with text-only inputs.
  • The model is served locally with vLLM and queried through the decision engine shipped in the repository.
  • The model is released under Apache-2.0.
  • The reported Decision Index 0.3 result is a self-reported local evaluation pending maintainer verification.
  • The model returns typed probabilities for supplied candidate decisions. [2]
  • The Open-Jev-27B-v1.1 model package is linked on Hugging Face. [2]
  • The package requires pinned upstream Qwen weights and the Open-Jev loader. [2]
    They require pinned upstream Qwen weights and the Open-Jev loader; base weights are not included.
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The package includes LoRA adapters, a trained scalar decision head, and a saved calibration temperature. [2]
    All three model packages contain LoRA adapters, a trained scalar decision head and saved calibration temperature.
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The 27B v1.1 package uses LoRA rank 8. [2]
    The 27B v1.1 package uses LoRA rank 8.
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • Jev is available today in early access. [3]
    Our first public model is Jev , available today in early access.
    TypeSafe. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • Jev outputs type-safe structured values accompanied by calibrated probabilities and confidence scores. [3]
    All answers are accompanied with calibrated probabilities and confidence scores.
    TypeSafe. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • Jev generates its outputs in parallel rather than one token at a time. [3]
  • Input tokens cost $0.042 per million tokens, and output tokens are free. [3]
    Input tokens: $0.042 / MTok ($42 per billion tokens).
    TypeSafe. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • Jev supports choices with cardinality up to 255. [3]
    Jev supports a cardinality up to 255.
    TypeSafe. Quoted text is outside CC BY 4.0 and keeps its original rights.

Sources

3
1
Hugging FaceOwner-controlled
https://huggingface.co/autotrust/AutoTrust-JEV-27B-v1.1 Retrieved 2026-10-27 01:17 UTC
Verified
2
GitHub new repositoriesOwner-controlled
https://github.com/Zefan-Cai/Open-Jev Retrieved 2026-10-27 01:17 UTC
Verified
3
TypeSafeOwner-controlled
https://typesafe.ai/blog/introducing-system-one-models-and-jev Retrieved 2026-10-27 01:17 UTC
Verified

Versions

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432026-10-27 01:17 UTCevidence updatescoreCurrent
422026-10-27 01:17 UTCmaterial changeaccess, deployment, pricing, availability, deploymentCurrent
412026-10-27 01:17 UTCmaterial changecapability, access, availability, deploymentCurrent
402026-10-26 00:38 UTCmaterial changeaccess, deployment, pricing, availability, deploymentCurrent
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382026-10-25 00:36 UTCevidence updatescoreCurrent
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82026-10-09 23:52 UTCmaterial changepricing model, deploymentCurrent
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22026-09-25 13:23 UTCmaterial changecapability, accessCurrent
12026-09-24 13:41 UTCpublicationNoneCurrent

In briefs

1

Open in the catalog

Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.