TheoLeeCJ/SemIf-OpenJev
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Semantic ifs from open models, on a 3090 at home. Independent project; not affiliated with Jev or TypeSafe. Wow! No waitlist. Run it in your browser today. [](demo/index.html) Same frozen 4B model · same state · same 21 questions · measured separately, aligned at t=0 in the replay Most agent decisions are small: route this, retry that, does the evidence support X? A chat model can answer them, but it spends time generating text that software immediately parses back into an if statement. Jev is TypeSafe's closed service for runtime-defined semantic decisions. This project reproduces that interface pattern with open models; it does not reproduce Jev's undisclosed model or training. This baseline reads typed option probabilities directly from a model. No answer sentence, JSON repair, or decoding loop. 2026-09-22 2026-09-18 Apple Silicon: use the native MLX backend for direct scoring, serial prefix reuse, and parallel shared-state decisions on macOS arm64.…
Read the full README ↗ · Preview checked 2026-09-24T12:30:33.043Z
Inside the original README — Document outline
- SemIf (formerly OpenJev)
- Latest changes
- Quick start
- How it works
- Speed
- Decisions versus a compact generated array
- Reusing a state across 21 decisions
- Quality
- Browser model ladder
- General decision baseline
- Calibration
- Input
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What this repository does
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
Repository facts
- Owner
- TheoLeeCJ
- Primary language
- Python
- Stars
- 4,175
- Forks
- 280
- Open issues + pull requests
- 27
- License
- MIT
- Archived
- No
- Default branch
- master
- Created
- 2026-09-16T03:51:21.000Z
- Last push
- 2026-09-23T18:48:22.000Z
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