# SemIf (formerly OpenJev) access and sources

> SemIf (formerly OpenJev) runs typed decisions in a browser or locally. Its pinned GGUF builds include Qwen3 0.6B; it is independent of TypeSafe.

Updated 2026-11-04 (Australia/Adelaide)

By TheoLeeCJ · COMMUNITY

Reproduces [Jev](<https://decisionmodels.ai/models/jev>)'s interface pattern with open models: it reads typed option probabilities directly from a model, with no answer sentence and no decoding loop. Runs in your browser, or at home on a GPU, Apple Silicon or CPU. Independent of TypeSafe, and it does not reproduce [Jev](<https://decisionmodels.ai/models/jev>)'s model or training.

## Facts

- Availability: Runs in the browser
- Models: Qwen3 0.6B, MiniCPM5 2B or Qwen3.5 4B, as pinned GGUF builds through wllama

## Claims and sources

- **CODE-VERIFIED**: Checked against its own README on 2 Oct 2026 [source](<https://github.com/TheoLeeCJ/SemIf-OpenJev>)
- **INDEPENDENT**: On [JevBench](<https://decisionmodels.ai/jevbench>) v1.8.6, published 01 Nov 2026, [SemIf](<https://decisionmodels.ai/models/openjev>) (formerly [OpenJev](<https://decisionmodels.ai/models/openjev>), Qwen3.5-4B) ranks #143 at 55.4 Capability, with 27.1 Intelligence and 83.6 Calibration. [Jev](<https://decisionmodels.ai/models/jev>) 1.13.0 is the unranked reference at 77.1 Capability. [source](<https://benchmarkheaven.com/jev-models/alternatives>)

## Links

- [Source: openjev.com](<https://openjev.com/>)
- [Source: TheoLeeCJ/SemIf-OpenJev](<https://github.com/TheoLeeCJ/SemIf-OpenJev>)

[JevBench scores and methodology](<https://decisionmodels.ai/jevbench>)

## Related projects

### MedJev: zero-shot medical decisions

[MedJev: zero-shot medical decisions](<https://decisionmodels.ai/projects#project-medjev>)

[Source: Simonlee711/MedJev](<https://github.com/Simonlee711/MedJev>)

Runs an open System One model locally on Apple silicon against ten medical benchmarks, from USMLE-style questions to emergency-department admission and 30-day readmission, and compares it with zero-shot LLMs and supervised baselines.

- Creator: Simonlee711

- Stars: 1

- Licence: MIT (code); model weights CC BY-NC 4.0

- Model: [OpenJev](<https://decisionmodels.ai/models/openjev>) Flash 9B

- Tags: medicine, benchmark, local